NDLI: A Novel Recurrent Neural Network Based Prediction System for Trading

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2015 International Joint Conference on Neural Networks (IJCNN)

2014 International Joint Conference on Neural Networks (IJCNN)

The 2013 International Joint Conference on Neural Networks (IJCNN)

The 2012 International Joint Conference on Neural Networks (IJCNN)

The 2011 International Joint Conference on Neural Networks

The 2010 International Joint Conference on Neural Networks (IJCNN)

2009 International Joint Conference on Neural Networks

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)

2007 International Joint Conference on Neural Networks

The 2006 IEEE International Joint Conference on Neural Network Proceedings

IJCNN 2006 Technical Program Listing

Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model

Active Binocular Gaze Control Inspired by Superior Colliculus

A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering

Training convolutional networks of threshold neurons suited for low-power hardware implementation

Local Cluster Neural Network On-chip Training

A Hardware Architecture for Color Image Enhancement Using a Machine Learning Approach with Adaptive Parameterization

Dynamic Exploration in Q(λ)-learning

Global Reinforcement Learning in Neural Networks with Stochastic Synapses

Connectionist Reinforcement Learning with Cursory Intrinsic Motivations and Linear Dependencies to Multiple Representations

Qualitative Adaptive Critics

Aggregation of Reinforcement Learning Algorithms

Reinforcement Learning for Parameterized Motor Primitives

Event modeling of message interchange in stochastic neural ensembles

Venn-like models of neo-cortex patches

Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia

An analytic solution of the reentrant Poisson master equation and its application in the simulation of large groups of spiking neurons

Modeling Cortical Maps with Feed-Backs

Simulation of young neocortical networks by spatially coupled oscillators

Learning to Rank by Maximizing AUC with Linear Programming

A Pairwise Reduced Kernel-based Multi-classification Tikhonov Regularization Machine

A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods

Sparse Optimization for Second Order Kernel Methods

The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator

Greedy forward selection algorithms to Sparse Gaussian Process Regression

Recognizing Human Emotion from Partial Facial Features

A neural model of the enhancement of perception caused by emotional cues

Nonlinear Queuing Model for Dynamic Synapse with Multiple Transmitter Pools

Top-Down Cortical Influences in Visual Expectation

Emotion and Decision Making: Short-term Reactions versus Long-term Evaluations

A Study on Learning with a Quantum Neural Network

Energy spectrum of quantum associative memories

Models of Self-Correlation Type Complex-Valued Associative Memories and Their Performance Comparison

Fundamental Properties of Quaternionic Hopfield Neural Network

Qubit Inspired Neural Network towards Its Practical Applications

Exact Interpolation and Learning in Quadratic Neural Networks

Learning a Rendezvous Task with Dynamic Joint Action Perception

Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning

Hierarchical Chunking during Learning of Visuomotor Sequences

Opposition-Based Q(λ) Algorithm

Training Coordination Proxy Agents

Learning using Dynamical Regime Identification and Synchronization

Failure Modes in Feedback Error Learning

Cliques in Neural Ensembles as Perception Carriers

Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex

A Neural Network Model of the Connectivity of the Biological Somatic Sensors

On Human Factors for Interactive Man-Machine Vision: Requirements of the Neural Visual System to transform Objects into Percepts

Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks

Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error

Implementing Multi-class Classifiers by One-class Classification Methods

An inexact penalty method for the semiparametric Support Vector Machine classifier

Parallel Implementation of Gradient-Based Neural Networks for SVM Training

An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning

Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression

Metastability in the brain

Exploration of relations between many-body field theory and the nonlinear brain dynamics that underlies cognitive behavior

Neural Dynamic Logic of Consciousness: the Knowledge Instinct

Top-Down Cortical Influences in Visual Expectation

An Optimized Approach for Fingerprint Binarization

A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and Classification

Neural-Network-Based Photometric Stereo for 3D Surface Reconstruction

The Ersatz Brain Project: Neural Inspiration, Cognitive Application

The Mechanism of Thought

Constraints on the Design Process for Systems with Human Level Intelligence

Computational Creativity

Computational Assessment of the `Magic' of Human Cognition

Patterns, Hypergraphs and Embodied General Intelligence

Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks

Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA

Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem

Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images

Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights—Electronic and Optical Implementations

Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks

Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors

Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP

A Reinforcement Learning Framework for Medical Image Segmentation

Automotive Engine Torque and Air-Fuel Ratio Control Using Dual Heuristic Dynamic Programming

Artificial Neural Networks simulation of learning of auditory equivalence classes for vowels

Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation

NARX Neural Networks for Dynamical Modelling of fMRI Data

Clustered Neural Dynamics Identify Motifs for Chemotaxis in Caenorhabditis elegans

Motor Control-Learning Model for Reaching Movements

About biologically plausible trajectory generators

Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method

Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space

Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification

Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

Pattern Selection for Support Vector Regression based on Sparseness and Variability

Wavelet-Based Relevance Vector Machines for Stock Index Forecasting

A Heuristic for Free Parameter Optimization with Support Vector Machines

FPGA Implementation of Support Vector Machines with Pseudo-Logarithmic Number Representation

Modeling the Evolution of Decision Rules in the Human Brain

Influence of Criticality on $1/f^{α}Spectral$ Characteristics of Cortical Neuron Populations

How to prevent spurious data in a chaotic brain

Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance

Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition

A Fully CMOS Low-Cost Chaotic Neural Network

Palmprint Recognition: Two level Structure Matching

Advances in 3D-Based Face Recognition

Synthetic Biometrics: A Survey

Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification

Resolution and Distortion Compensation based on Sensor Evaluation for Interoperable Fingerprint Recognition

Neural and Statistical Classification to Families of Bio-sequences

GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference

Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection

Experiments with Safe ARTMAP and Comparisons to Other ART Networks

Optimization of ANFIS with Applications in Machine Defect Severity Classification

A Novel and Efficient Neuro-Fuzzy Classifier for Medical Diagnosis

Rough set-based neuro-fuzzy system

Statistical Mechanics of Online Learning for Ensemble Teachers

Training Radial Basis Functions by Gradient Descent

Hybrid Neural Network

Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines

A Comparison between Recursive Neural Networks and Graph Neural Networks

A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions

Hamiltonian Neural Networks Based Classifiers and Mappings

Localized Support Vector Machines for Classification

Fast Neural Implementation of PCA for Face Detection

An Improved Minibrain That Learns Through Both Positive and Negative Feedback

Prototype based outlier detection

A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Dynamic System Identification

A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors

Generalizing Independent Component Analysis for Two Related Data Sets

Small-catchment flood forecasting and drainage network extraction using computational intelligence

Neuro-Fuzzy Control of SSSC and SMES for Transient Stability Improvement of Power System Transmission Lines

Direct Estimation of Fault Tolerance of Feed Forward Neural Networks in Pattern Recognition

Structural Mapping with Identical Elements Neural Network

Multisensor Data Fusion Using Neural Networks

Generalized Wavelet Neural Network Model and its Application in Time Series Prediction

A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons

Automatic Evaluation of Flaws in Pipes by means of Ultrasonic Waveforms and Neural Networks

A Neural Network Approach to Bearing Health Assessment

A Neural Network based Technique for Automatic Classification of Road Cracks

Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction

A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition

An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification

The Online Models based Fault Tolerant Control for Multiple Sensor Fault of Multi-variable Nonlinear Processes

Image Compression using an Enhanced Self Organizing Map Algorithm with Vigilance Parameter

Tentacled Self-Organizing Map for Effective Data Extraction

A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space

SOM-Based Sparse Binary Encoding for AURA Classifier

Identification of a Dynamic Model for a Thin Film Deposition Process using a Self-Organizing Map

Multi-Sensors Data Tracking Fusion Based on a Neural Network Filter

NaviSOM: Automatic Construction of Navigational Structure for Web Pages using Self-organizing Maps

Bi-directional Modularity to Learn Visual Servoing Tasks

Self-Organizing Map with Refractoriness and Its Application to Image Retrieval

The Time Adaptive Self-Organizing Map is a Neural Network Based on Artificial Immune System

Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates

A Note on the Fractional-Order Cellular Neural Networks

Stability Analysis of an Unsupervised Competitive Neural Network

Robust Stability Analysis of a Class of Noise Perturbed Two–Time Scale Neural Networks

The Design of MOS-NDR-Based Cellular Neural Network

A New Approach to Image Authentication using Local Image Icon of Unit-linking PCNN

Neural Network Based State Estimation of Dynamical Systems

Reservoir-based techniques for speech recognition

Neural Network Approaches for Text Document Categorization

Comparative Study of Different Types of Wavelet Functions in Neural Network

Self-Organizing Quantum Neural Network

A Comparison of Stochastic Processes and Artificial Neural Networks for Canonical Correlation Analysis

Neural Network Prediction of Reduced Ion Mobility of Chemical Compound Based on Molecular Structure

High-speed Bi-directional Function Approximation using Plausible Neural Networks

Neural-Network-based Programmable State Feedback Controller for Induction Motor Drive

Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets

Laser Cutting Parameters Optimization Based on Artificial Neural Network

Design of State Estimators for the Inferential Control of an Industrial Distillation Column

Rough Set Theory based Neural Network Architecture

On Geometric Structure of Quasi-Additive Learning Algorithms

Consistent Density Function Estimation with Multilayer Perceptrons

Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks

A Latent Variable Implementation of Canonical Correlation Analysis for Data Visualisation

Learning of Kernel Functions in Support Vector Machines

Support Vector Regression Based on Goal Programming and Multi-objective Programming

SVM Training: Second-Order Cone Programming versus Quadratic Programming

Learning the Kernel in Mahalanobis One-Class Support Vector Machines

Web Host Access Tool: A Support Vector Machine Approach

Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach

Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative

Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems

Choosing the Kernel parameters of Support Vector Machines According to the Inter-cluster Distance

Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD

Accurate SVM Text Classification for Highly Skewed Data Using Threshold Tuning and Query-Expansion-Based Feature Selection

Support Vector Machines to Weight Voters in a Voting System of Entity Extractors

Kernel Partial Least-Squares Regression

Confidence of SVM Predictions using a Strangeness Measure

Financial Prediction Applications Using Quantum-Minimized Composite Model ASVR/NGARCH

Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement

Building Neural Network Ensembles using Genetic Programming

Pruning in Ordered Regression Bagging Ensembles

On Combining Backpropagation with Boosting

Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm

Designing a New Multilayer Feedforward Modular Network for Classification Problems

Evolutionary Search for Interesting Behavior of Neural Network Ensembles

Variable Input Neural Network Ensembles in Generating Synthetic Well Logs

Neural-Network-based Metalearning for Distributed Text Information Retrieval

Using Accuracy and Diversity to Select Classifiers to Build Ensembles

A Simple Design for High Speed Normalized Neural Networks Implemented in the Frequency Domain for Pattern Detection

Fast Co-operative Modular Neural Processors for Human Face Detection

Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems

Visualization of High Dimensional Data using an Automated 3D Star Co-ordinate System

Extending Manifold Leaning Algorithms by Neural Networks

Improving classification precision by implicit kernels motivated by manifold learning

Recursive Feature Addition for Gene Selection

Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing

Spatially Adaptive Kernels for Adaptive Spatial Filtering of fMRI Data

Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain

Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation

Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network

Automated Detection of Color Non-Uniformity Defects in TFT-LCD

A Region of Interest Based Image Segmentation Method using a Biologically Motivated Selective Attention Model

A Neural Network Model for the Decision-Making Process Based on ANP

Unsupervised Multi-net Simulation: An Application to Child Development

Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm

Estimation of stochastic representation of via-points in human motion control by reinforcement learning

Comparison of Artificial Neural Network Architectures and Training Algorithms for Solving the Knight's Tours

Intelligent Decoupled Control for Linear Induction Motor Drive

Getting parameters in power systems based on adaptive linear neural network

Spatial SVM for feature selection and fMRI activation detection

Descendant hierarchical support vector machine for multi-class problems

The Learning and Dynamics of VSF-Network

A Mobile Vision System with Reconfigurable Intelligent Agents

Vector Quantization System Based on Scalar SOM/AND-OR Hybrid Network

AER Neuro-Inspired interface to Anthropomorphic Robotic Hand

Extraction of Phase Information Buried in Fluctuation of a Pulse-type Hardware Neuron Model Using STDP

On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses

Implementation of Artificial Neural Network for Real Time Applications Using Field Programmable Analog Arrays

Classification by means of Evolutionary Product-Unit Neural Networks

Exponential Transitions: Telltale Sign of Consistency in Learning Systems

Fault tolerant training algorithm for multi-layer neural networks focused on hidden unit activities

An Integrative Neural Network with Feedback Control for Classification

Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting

Vector-Valued Support Vector Regression

Integrated Emotions, Cognition, and Language

Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots

Meaning creation and communication in a community of agents

From Signaling to Word-Combination, a Layered Approach

Reassessing Combinatorial Productivity Exhibited by Simple Recurrent Networks in Language Acquisition

A Structured Context Model for Grammar Learning

Comparing Kernels for Predicting Protein Binding Sites from Amino Acid Sequence

Highway traffic forecasting by support vector regression model with tabu search algorithms

Local Support Vector Regression for Financial Time Series Prediction

MIMO SVMs for 3D object classification

Kernel based Clustering and Vector Quantization for Speech Segmentation

Support Vector Clustering Applied to Digital Communications

Performance Prediction Challenge

LogitBoost with Trees Applied to the WCCI 2006 Performance Prediction Challenge Datasets

Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs

Classification with Tree-Based Ensembles Applied to the WCCI 2006 Performance Prediction Challenge Datasets

Model Selection: An Empirical Study on Two Kernel Classifiers

Regularization and Averaging of the Selective Naïve Bayes classifier

On-line Estimation of Electric Power System Active Loads

Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads

System-Type Neural Network Architectures for Power Systems

Sensorless ANN-Based Speed Estimation of Synchronous Generators: Improved Performance through Physically Motivated Pre-filters

Particle Swarm Optimization based Defensive Islanding of Large Scale Power System

A Binaural Synthesis with Multiple Sound Sources Based on Spatial Features of Head-related Transfer Functions

Environmental Sound Classification using Hybrid SVM/KNN Classifier and MPEG-7 Audio Low-Level Descriptor

BER Performance Improvement of Biased PCC-OFDM with Neural Phase Rotator by Suppressing ICI

Adaptive Estimation for Spectral-Temporal Characterization of Energetic Transient Events

A DWT-based Robust Watermarking Scheme with Fuzzy ART

Neural Network-Based Robust Adaptive Beamforming

Using Segmentation to Control the Retrieval of Data

Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers

The Generalisation of the Recursive Deterministic Perceptron

A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Analytical Function Recognition

Supervised Information Maximization by Weighted Distance

Backpropagation for Population-Temporal Coded Spiking Neural Networks

A Self-Organising Map Approach for Clustering of XML Documents

Cooperation-based Clustering for Profit-maximizing Organizational Design

Data Analysis and Confidence based on SVM Density Estimation

Predictive Random Graph Ranking on the Web

Greedy rule generation from discrete data and its use in neural network rule extraction

Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species

A Monte Carlo Sequential Estimation for Point Process Optimum Filtering

Nonlinear Component Analysis Based on Correntropy

Correntropy as a Novel Measure for Nonlinearity Tests

Semi-Autonomous Neural Networks Differential Equation Solver

Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks

Co-training using RBF Nets and Different Feature Splits

Nonlinear Model Selection Based on the Modulus of Continuity

Semi-Supervised Model Selection Based on Cross-Validation

New Formulation of SVM for Model Selection

Common Subset Selection of Inputs in Multiresponse Regression

Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations

Model Selection via Bilevel Optimization

Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions

Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease

Finding Phylogenetically Informative Genes by Estimating Multispecies Gene Entropy

Continuous Heartbeat Monitoring Using Evolvable Block-based Neural Networks

A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem

Testing the Augmented Binary Multiclass SVM on Microarray Data

Application of Particle Swarm Optimization to PMSM Stator Fault Diagnosis

Neural Network based Decentralized Excitation Control of Large Scale Power Systems

Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization

Loss Power Minimization Using Particle Swarm Optimization

Discrete- Time Recurrent Neural Induction Motor Control using Kalman Learning

Artificial Neural Network for Temporal Impedance Recognition of Neurotoxins

Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications

Hardware Implementation of Dynamic Synapse Neural Networks for Acoustic Sound Recognition

Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes

Robust Watermarking in Wavelet Domain Using Rank Order and Genetic Algorithm for Image Authorization

Symmetric Cipher Design Using Recurrent Neural Networks

Fast Incremental Learning Algorithm using Evolutionary Logic Networks for Real-Value Inputs

Nominal-scale Evolving Connectionist Systems

Particle Swarm Optimization of Fuzzy ARTMAP Parameters

Combining Gradient and Evolutionary Approaches to the Artificial Neural Networks Training According to Principles of Support Vector Machines

An Immune and a Gradient-Based Method to Train Multi-Layer Perceptron Neural Networks

A Supervised Constructive Neuro-Immune Network for Pattern Classification

A Novel Recurrent Neural Network Based Prediction System for Trading

How Good ANN Identification of Post-Stabilization Inflation Dynamics Can Be?

Designing a Neural Network Decision System for Automated Insurance Underwriting

Financial Prediction of Major Indices using Computational Efficient Artificial Neural Networks

Attack Characterization and Intrusion Detection using an Ensemble of Self-Organizing Maps

Market Risk Measurement for Crude Oil: A Wavelet Based VaR Approach

Locally Weighted Fusion of Multiple Predictive Models

Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces

Toward an Optimal Ensemble of Kernel-based Approximations with Engineering Applications

Predicting Juvenile Diabetes from Clinical Test Results

Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions

Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity

Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts

Model Selection in an Ensemble Framework

Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization

A Study of Supervised Learning with Multivariate Analysis on Unbalanced Datasets

Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization Network

Compact Electronic Nose Systems Using Metal Oxide Gas Sensors for Fire Detection Systems

Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks

An Evolving Automaton for RNA Secondary Structure Prediction

Multi-label Classification of Gene Function using MLPs

An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System

Power Systems Neural Voltage Control by a StatCom

Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO

Real-Time Implementation of an Optimal Transient Neurocontroller for a GCSC

SSSC's Adaptive Neural Control

Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers

Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques

Independent Component Analysis of Body Surface Potential Mapping Recordings with Atrial Fibrillation

There Goes the Neighborhood: A Comparison of a "Just-in- Time" SOM with the Traditional Kohonen Map Applied to Segmenting US Medicare Beneficiaries

A Neural Network Model for Maximizing Prediction Accuracy in Haplotype Tagging SNP Selection

Improved Prediction of HIV-1 Protease Genotypic Resistance Testing Assays using a Consensus Technique

Level Set Method Based on Improved Mumford-Shah Model Applied in Wood Cell Image Segmentation

In silico prediction of promoter sequences of Bacillus species

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks

Long-Range Interaction Analysis using Principal Component Analysis

A Flexibility Index for Analysis of Bio-molecular Complexes

Feedback Neurocontrol of a Disease

Complex Kalman Filter Trained Recurrent Neural Network Based Equalizer for Mobile Channels

Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection

Application of Artificial Neural Networks Techniques to Computer Worm Detection

A New PTS for PAPR Reduction by Local Search in GA

Neuromodelling of Frequency Selective Surfaces and E-Shaped Microstrip Antennas

Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer

Mining Formative Evaluation Rules Using Learning Portfolios for Web-based Learning Systems

An ETF Trading Decision Support System by Using Neural Network and Technical Indicators

Real-Time Pricing of Mutual Funds

Cellular Neural Network for Associative Memory and Its Application to Braille Image Recognition

Image Recognition Systems Based on Random Local Descriptors

A New Facial Expression Recognition Technique using 2-D DCT and Neural Networks Based Decision Tree

Appearance-based Pain Recognition from Video Sequences

A Novel Method of Modulation Classification for Digital Signals

An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification

Hierarchical HMMs for Autonomous Diagnostics and Prognostics

Hough Transform Neural Network for Seismic Pattern Detection

Reinforcement Learning for Platform-Independent Visual Robot Control

Local Movement Control with Neural Networks on Autonomous Robots

Data Fusion Modeling of Lumber Moisture Content Sensors Using Chebyshev Functional Link Networks

Attitude and Vibration Control of Flexible Spacecraft Using Adaptive Inverse Disturbance Canceling

Robust Control for Biped Robot Using Cerebellar Model Articulation Controller

Task learning for a real robot by using virtual space

A Neuro-augmented Observer for a Class of Nonlinear Systems

A Neural Network Algorithm for the Error Optimization in the Path Tracking Control of a Mobile Robot

Adaptive Stochastic Resonance in Color Object Segmentation

A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals

A Novel SVM-Based Blind Super-Resolution Algorithm

Topology Selection for Signal Change Detection in Sensor Networks: RBF vs MLP

Blur identification in image processing

Neural Network Recognition of Spherical Bodies Set Grain-Size Distribution Using Envelope of Surface

Partial Object Recognition for Improving Novelty Detection in Videos

Factor Analysis for Geophysical Signal Processing with Seismic Profiles

Speaker Verification using 3-D ROC Curves for Increasing Imposter Rejections

The Adult Image Identification Based on Online Sampling

Hierarchical Reinforcement Learning Model for Military Simulations

The Analysis of Pen Inputs of Handwritten Symbols using Self Organizing Maps and its Application to User Authentication

Unknown Malicious Codes Detection Based on Rough Set Theory and Support Vector Machine

Applying Improved BP Neural Network In Underwater Targets Recognition

A Novel Wavelet-based-CMAC Neural Network Controller for Nonlinear Systems

Broadband Active Sonar Swimmer Detection and Identification

Neural Net Analysis of the Propensity for Change in Large Software Systems

Solar radiation prediction using RBF Neural Networks and cloudiness indices

Short-Term Load Forecasting Using System-Type Neural Network Architecture

A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem

Internet Traffic Forecasting using Neural Networks

Artificial Neural Network of Liquefaction Evaluation for Soils with High Fines Content

Intelligent Prediction System of Coal-Gas Outburst Based on Evolutionary Neural Nets

A Hybrid Intelligent System for Short and Mid-term Forecasting for the CELPE Distribution Utility

Neural Networks as Soft Sensors: a Comparison in a Real World Application.

A Non-Linear Neural D/A Converter for Direct Digital Frequency Synthesizers

Mitigation of Multipath Influence on Tracking Errors in LEO Navigation Applications

A Proposal to Solve N-Queens Problems Using Maximum Neuron Model with A Modified Hill-Climbing Term

New Fast Time Delay Neural Networks Using Cross Correlation Performed in the Frequency Domain

Building a Packages Delivery Schedule Using Extended Simulated Annealing

Identification of Block Ciphers using Support Vector Machines

An Intelligent System for Prediction of Orthodontic Treatment Outcome

Model-Following Controller for Nonlinear Plants using RBF Neural Networks

Estimating Soc in Lead-Acid Batteries Using Neural Networks in a Microcontroller-Based Charge-Controller

Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach

Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model

Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN

Parametric Analysis of Solar Collectors Through Sensitivity Factors Via Artificial Neural Networks

In Situ Training of CMOL CrossNets

An Efficient Spike-Based Communication Protocol for Neurally Inspired Feature Maps

Adaptive Neural Control for Switching Power Supplies Using Gaussian Wavelet Networks

Fault-Tolerance of Robust Feed-Forward Architecture Using Single-Ended and Differential Deep-Submicron Circuits Under Massive Defect Density

Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling

FPGA Implementation of FastICA based on Floating-Point Arithmetic Design for Real-Time Blind Source Separation

A Pulse-based Neural Hardware Implementation Based on the Controlled Conductance by MOSFET Circuit

Optimization of Binary-Output CNNs: First Step of an Analytical Design Process

JPEG-2000 Workload Prediction for Adaptive System on Chip Entropy Coders Architecture

An FPGA Implementation of a Competitive Hopfield Neural Network for Use in Histogram Equalization

Neural Network Based Memory Access Prediction Support for SoC Dynamic Reconfiguration

SIRENS: A Simple Reconfigurable Neural Hardware Structure for artificial neural network implementations

Embedded Electronics Systems for Training Support Vector Machines

A hardware implementation of Multi-level Threshold Logic for Artificial Neural Net

An Asymmetry Subsethood-Based Neural Fuzzy Network

Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System

Clinical Diagnosis Using Proteomics and Complementary Learning

A Neuro—Fuzzy Approach for the Motion Planning of Redundant Manipulators

Modified Fuzzy-CMAC Networks with Clustering-based Structure

The Design of Neuro-Fuzzy Networks Using Particle Swarm Optimization and Recursive Singular Value Decomposition

A Fuzzified Neural Fuzzy Inference Network that Learns from Linguistic Information

Model Accuracy of the IDS Method for Three-input Systems and a Basic Constructive Algorithm for Structural Optimization

Evolution of Real Valued Weights for RBF-DDA Networks

A Two-Phase Genetic Local Search Algorithm for Feedforward Neural Network Training

Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization

An Evolutionary Approach to Data Classification - Hybrid Real-Coded Genetic Algorithm with Pruning

Designing Radial Basis Function Networks for Classification Using Differential Evolution

The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction

Multiagent team formation performed by operant learning: an animat approach

Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents

Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks

Feedback Quantum Neuron for Multiuser Detection

Performance Evaluation of Subspace-based Algorithm in Selecting Differentially Expressed Genes and Classification of Tissue Types from Microarray Data

A Progressive Framework for Two-Way Clustering Using Adaptive Subspace Iteration for Functionally Classifying Genes

Comparison of Conventional, Fuzzy Logic and Neural Based HBPWM Current Controllers

Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine

Utilizing Computational Intelligence in Estimating Software Readiness

Utilizing Generalized Growing and Pruning Algorithm for Radial Basis Function (GGAP-RBF) Network in Predicting IPOs Performance

Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing

Extracting Refined Rules from Hybrid Neuro-Symbolic Systems

Automatic understanding of images: integrated syntactic and semantic analysis of music notation

Quantification of Uncertainty in Mineral Prospectivity Prediction Using Neural Network Ensembles and Interval Neutrosophic Sets

New Word Extraction Utilizing Google News Corpuses for Supporting Lexicon-based Chinese Word Segmentation Systems

Knowledge Representation and Possible Worlds for Neural Networks

A Connectionist Model for Weighted Fuzzy Programs

Genetic Algorithms for Support Vector Machine Model Selection

Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers

Investigation on Diversity in Homogeneous and Heterogeneous Ensembles

The Neurodynamics of the Hippocampal Place Fields

Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies

Multi-Objective Evolutionary Job-Shop Scheduling Using Jumping Genes Genetic Algorithm

Design of Output Recurrent CMAC Backstepping Control System for Tracking Periodic Trajectories

CMAC-Based Supervisory Control for Chaotic Chua's Circuits

An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering

Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network

Online Detection and Classification of Disasters by a Multiple-input/single-output Sensor for a Home Security System

TempUnit: A bio-inspired neural network model for signal processing

Selection of Distributed Sensors for Multiple Time Series Prediction

Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction

Learning Cyclic Oscillation By Digital Type Recurrent Neural Network

Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems

Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra

Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment

Dynamic Hyperparameter Scaling Method for LVQ Algorithms

Neighbourhood Vector as Shape Parameter for Pattern Recognition

A neural architecture to identify courtesy amount delimiters

Classification of Normal and Hypoxia EEG Based on Approximate Entropy and Welch Power-Spectral-Density

Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data

Improving Speaker Identification Rate Using Fractals

Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals

On the Probability of Finding Local Minima in Optimization Problems

Domain Dynamics in Hopfield Model

A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems

Mesoscopic Approach to Locally Hopfield Neural Networks in Presence of Correlated Patterns

Hetero Chaotic Associative Memory for Successive Learning with Multi-Winners Competition

On the Divergence Dynamics of the Nonlinear Line of Attraction

A Self-Organizing Map Based Approach for Document Clustering and Visualization

Geodesic Nonlinear Mapping Using the Neural Gas Network

Using Large Databases and Self-Organizing Maps without tears

GViSOM for Multivariate Mixed Data Projection and Structure Visualization

Accelerated codebook searching in a SOM-based Vector Quantizer

Optimization of Neural Networks with Multi-Objective LASSO Algorithm

Semi-supervised feature selection via multiobjective optimization

An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization

Alleviating Catastrophic Forgetting via Multi-Objective Learning

Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity

The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines

Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate

Online Estimation of Dynamic Bayesian Network Parameter

Gender Classification with Bayesian Kernel Methods

Sparse Bayesian Models: Bankruptcy-Predictors of Choice?

Automatic Knowledge Acquisition: Recognizing Music Notation with Methods of Centroids and Classifications Trees

Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm

An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants

Supervised Neural Network Training with a Hybrid Global Optimization Technique

A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons

Divide and Conquer Strategies for MLP Training

An Incremental Learning Algorithm of Ensemble Classifier Systems

An Autonomous Diagnostics and Prognostics Framework for Condition-Based Maintenance

Improving Disturbance Classification by Combining Multiple Artificial Neural Networks

Health Monitoring of Complex Systems using Parallel Neural Networks

Support Vector Machines and Wavelet Packet Analysis for Fault Detection and Identification

Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification

Modular Multilayer Perceptron for WLAN Based Localization

Locally Asymptotically Stable Fixed-point Assignment Problems in Neural Networks and Application to Associative Memory

Generation of Oscillatory Trajectories with Specified Stability Degree Using Recurrent Neural Networks

New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns

An Auto-Associative Neural Network for Information Retrieval

Stability of Equilibrium Points and Storage Capacity of Hopfield Neural Networks with Higher Order Nonlinearity

Incremental Gain Analysis of Chaotic Recurrent Neural Network and Applications in Pattern Association

A New Approach to Task Segmentation in Mobile Robots by mnSOM

The identification and extraction of itemset support defined by the weight matrix of a Self-Organising Map

Behavior of Fatigable SOM and its Application to Clustering

Automatic Content-Based Image Retrieval Using Hierarchical Clustering Algorithms

Medical Image Segmentation using a Self-organizing Neural Network and Clifford Geometric Algebra

Convergence of SOM and NG as GNC algorithms

Classification error as a measure of gene relevance in cancer diagnosis

Feature Selection for Data Driven Prediction of Protein Model Quality

Supervised Classification and Gene Selection Using Simulated Annealing

On Classification Models of Gene Expression Microarrays: The Simpler the Better

Kernel Based Functional Gene Grouping

Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks

Pattern Classification with Missing Values using Multitask Learning

KICA Feature Extraction in Application to FNN based Image Registration

Multi-Objective Data Clustering using Variable-Length Real Jumping Genes Genetic Algorithm and Local Search Method

Preliminary Results on Noise Detection and Data Selection for Vector Quantization

Bayesian Training of Neural Networks Using Genetic Programming

A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description

Enhanced Walsh Function Based Distributed Associative Memory for Pattern Recognition

Lotto-Type Competitive Learning with Particle Swarm Features II

A Model of Human Category Learning with Dynamic Multi-Objective Hypotheses Testing with Retrospective Verifications

Efficient Human-like Memory Management based on Walsh-based Associative Memory for Real-time Pattern Recognition

Biologically Inspired Neural Controller for Robot Learning and Mapping

Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function

Application of Artificial Neural Network (ANN) to PA Lifespan: Forecasting Models

Neural Network-based Actuator Fault Diagnosis for Attitude Control Subsystem of an Unmanned Space Vehicle

ESOFCMAC: Evolving Self-Organizing Fuzzy Cerebellar Model Articulation Controller

A Method for Fault Classification in Transmission Lines Based on ANN and Wavelet Coefficients Energy

Diagnosis of a Cutting Tool in a Machining Center

A Dynamic Neural Network-based Reaction Wheel Fault Diagnosis for Satellites

Solar Activity Forecasting by Incorporating Prior Knowledge from Nonlinear Dynamics into Neural Networks

The Interval Estimation of Parameters for Back-Propagation Network to Flood Discharge Forecasting

Recurrent Neural Network Based Gating for Natural Gas Load Prediction System

Hybrid model with dynamic architecture for forecasting time series

Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization

Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions

A Neuro-Immune Network for Solving the Traveling Salesman Problem

The Self-Organising Hierarchical Variance Map

Fast Competition Approach using Self Organizing Map for Lip-Reading Applications

Shape Morphing and Reconstruction Using A Self-Organizing Feature Map

A Connectionist Approach to Speech Understanding

Self-Organizing Feature Map (SOFM) based Deformable CAD Models

An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors

Connectionist Modelling of Dynamics of Gene Expression and Reverse Engineering Gene Regulatory Networks

Computation Intelligence Tools for Modeling and Controlling Pharmacogenomic Systems: Genetic Programming and Neural Networks

Classification Analysis of Surface-enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles for Prostate Cancer

Neural Network Modeling of Species Evolution: Loss and Gain in Complete Genome

Classification and Clustering of Breast Cancer Images

Spatiotemporal Pattern Recognition via Liquid State Machines

Motion Based Image Deblur Using Recurrent Neural Network for Power Transmission Line Inspection Robot

Various spike-trains from a digital spiking neuron: analysis of inter-spike intervals and their modulation

Noise resistance and enhancement of neural performance by using spike signals

Observations of Olfactory Information Flows within Brain of the Terrestrial Slug, Inciralia fruhstorferi

A Learning Method for Synthesizing Spiking Neural Oscillators

Optimal In-Place Learning and the Lobe Component Analysis

Classification using Multi-SOMs and Multi-Neural Gas

A New Unsupervised Neural Network for Pattern Recognition with Spiking Neurons

A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS

Relative Gradient Learning for Independent Subspace Analysis

Create Stable Neural Networks by Cross-Validation

A Weighted Voting and Sequential Combination of Classifiers Scheme for Human Face Recognition

Improved Snake Model for Fast Image Segmentation

An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification

Improvement of Image Classification with Wavelet and Independent Component Analysis (ICA) based on a Structured Neural Network

Automatic Road Sign Recognition Using Neural Networks

Particle Tracking Velocimetry Using Cellular Neural Network

Fast Modifications of the SpikeProp Algorithm

Application of the Levenberg-Marquardt method to the training of spiking neural networks

Controlling Chaos in Chaotic Bidirectional Associative Memories

Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks

Tristability in Model Neurons

GNG3D - A Software Tool for Mesh Optimization Based on Neural Networks

Approximate query processing for efficient content-based image retrieval based on a hierarchical SOM

A Novel Cooperative Neural Learning Algorithm for Data Fusion

Intelligent Facial Analysis and Expression Recognition

Content-based Video Adaptation in Low/Variable Bandwidth Communication Networks Using Adaptable Neural Network Structures

Is High Resolution Representation More Effective for Content Based Image Classification?

Synthesis of Pulsed-Coupled Neural Networks in FPGAs for Real-Time Image Segmentation

Iris Recognition Independent of Rotation and Ambient Lighting Variations

Modular Fuzzy Neural Networks for Imitative Learning of A Partner Robot

An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks

Experiments with a Hybrid-Complex Neural Networks for Long Term Prediction of Electrocardiograms

Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve

Fuzzy Clustering of Open-Source Software Quality Data: A Case Study of Mozilla

Rotation and Size Independent Face Recognition by the Spreading Associative Neural Network

Speed Optimisation Module of a Hydraulic Francis turbine based on Artificial Neural Networks. Application to the Dynamic Analysis and Control of an Adjustable Speed Hydro Plant

Single compartment fire risk analysis using a fuzzy neural network

Estimation of Ocean Water Chlorophyll-a Concentration Using Fuzzy C-means Clustering and Artificial Neural Networks

WebFusion: Fundamentals and Principals of a Novel Meta Search Engine

Clustering Vehicle Trajectories with Hidden Markov Models Application to Automated Traffic Safety Analysis

Automated Model Selection (AMS) on Finite Mixtures: A Theoretical Analysis

Refining Spherical K-Means for Clustering Documents

Adaptive Spatial Information Clustering for Image Segmentation

An optimization approach to achieve unsupervised segmentation and binding in a dynamical network

Learning to Segment Any Random Vector

Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces

ANN Based Internal Model Approach to Motor Learning for Humanoid Robot

Coordination of Two Redundant Robots Using a Dual Neural Network

Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control

Biologically Inspired KFLANN Place Fields for Robot Localization

Probabilistic Multi-modal People Tracker and Monocular Pointing Pose Estimator for Visual Instruction of Mobile Robot Assistants

Some stability properties of dynamic neural networks with different time-scales

A Very Small Chaotic Neural Net

Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor

Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron

Preparing More Effective Liquid State Machines Using Hebbian Learning

Durability of Affordable Neural Networks against Damages

An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina

Multiresolution Object Recognition Using Dual Heuristic Programming

Delay Compensation Through Facilitating Synapses and STDP: A Neural Basis for Orientation Flash-Lag Effect

Vergence Control of 2 DOF Pan-Tilt Binocular Cameras using a Log-Polar Representation of the Visual Cortex

The spherical retina a conformal geometric algebra model for human like vision

Biologically Motivated Face Selective Attention System

Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model

Neural Network Modelin of Nearshore Sandbar Behavior

A cross-wavelet study of alongshore nonuniform nearshore sandbar behavior

Application of Markov Chain simulation for model calibration

Model Inversion by Parameter Fit Using NN Emulating the Forward Model – Evaluation of Indirect Measurements

Tropical Cyclone Forecast using Angle Features and Time Warping

Designing an Associative Memory via Optimal Training for Fault Diagnosis

Spherical Neural Networks and some applications

A Hierarchical Self-Organizing Controller for Navigation of Mobile Robots

Forecasting Time Series with a New Architecture for Polynomial Artificial Neural Network

Forecasting Economic Time Series Using Modular Neural Networks and the Fuzzy Sugeno Integral as Response Integration Method

Support Vector Classifier Using Basin-Based Sampling for Security Assessment of Nonlinear Power and Control Systems

Artificial Neural Networks and Robustness Analysis in Landslide Susceptibility Zonation

Grid Computing Solutions for Artificial Neural Network-based Electricity Market Forecasts

Identifying and Diagnosing Students with Learning Disabilities using ANN and SVM

A Visual Perceiving and Eyeball-Motion Controlling Neural Network for Object Searching and Locating

Rotorcraft Acoustic Noise Estimation and Outlier Detection

PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data

A Multichannel Canonical Correlation Analysis Feature Extraction with Application to Buried Underwater Target Classification

Data Clustering using Self-Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity Indexes: an application in remotely sensed images

A New SOM-based Visualization Technique for DNA Microarray Data

Knowledge-Based Multi-Spectral Pixel Level Fusion for Surveillance

Developmental Learning Based on Coherent Neural Networks with Behavioral Mode Tuning by Carrier-Frequency Modulation

System Identification using the Neural-Extended Kalman Filter for Control Modification

Direct Neural-Adaptive Control with Quantifiable Bounds and Improved Performance

Order Formation in Learning Nonlinear Robust Control Systems by Use of Neural Networks

Adaptive Neural-Based Backstepping Control of Uncertain MIMO Nonlinear Systems

Associated Hermite series based Iterative Learning Control with Experience inclusion using Local Learning Approach

Switching Learning Law for Differential Neural Observer for Biodegradation Process

Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network

On the Analysis of Sigmoid Time Parameters for Dynamic Truncated BPTT Algorithm

Chaotic Searches and Stable Spatio-temporal Patterns as a Naturally Emergent Mixture in Networks of Spiking Neural Oscillators with Rich Dynamics

Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks

A Recurrent Neural Network for Solving Nonconvex Optimization Problems

Oscillatory Network for Synchronization-Based Adaptive Image Segmentation

Distributed Behavior-based Multi-agent System for Automatic Segmentation of Brain MR Images

Dual Analog Focal Plane Sensors for Depth Perception

Object categorization using self-organization over visual appearance

A Biologically Inspired Shape Representation Model Based on Part Decomposition

From Light to Spikes: a Large-Scale Retina Simulator

Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations

Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction

Nonlinear principal component analysis of noisy data

Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches

A Hybrid Neural Network/Analog Model for Climate Downscaling

Unsupervised Learning Neural Network for Classification of Ship-Hull Fouling Conditions

Neural Networks and Classi cation & Regression Trees Are Able to Distinguish Female with Major Depression from Healhy Controls Using Neuroimaging Data

Exploring Standard Self-Organizing Map Internal Structure in the Learning

Genetic specification of recurrent neural networks: Initial thoughts

Computational Developmental Neuroscience: Exploring the Interactions Between Genetics and Neural Activity

Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations

Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition

Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces

Brain Computer Interface using EEG Sensors Based on an fMRI Experiment

A new, human-centered wheelchair system controlled by the EMG signal

Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface

Arm Motion Reconstruction via Feature Clustering in Joint Angle Space

A Design of PID Controllers with a Switching Structure by a Support Vector Machine

A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Ship Predictive Control

Anti-swing control for overhead crane with neural compensation

SEVA3D: Using Arti cial Neural Networks to Autonomous Vehicle Parking Control

On Stability of Nonlinear Observers Based on Neural Networks

Bimodal Projection-based Features for Pattern Classification

A Computational Intelligence Strategy for Software Complexity Prediction

Sensor Selection for Driving State Recognition

Data partition and variable selection for time series prediction using wrappers

C2FS: An Algorithm for Feature Selection in Cascade Neural Networks

Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods

On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning

Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity

Improving the Convergence of Backpropagation by Opposite Transfer Functions

Effective Training Methods for Function Localization Neural Networks

A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions

A Mixed Parallel Perceptron Classifier and Several Application problems

Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks

A Neuromodulatory Neural Networks Model for Environmental Cognition and Motor Adaptation

Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks

Cluster Distance Factor Searching by Particle Swarm Optimization for Self-Growing Radial Basis Function Neural Network

Bayesian Learning of Neural Networks by Means of Artificial Immune Systems

Generalization Improvement in Multi-Objective Learning

Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting

Improving Empirical Models with Machine Learning

Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting

Forecasting Cyanobacteria with Bayesian and Deterministic Artificial Neural Networks

Knowledge extraction in geochemical data by using self-organizing maps.

An Embedded Hardware-Software System to Detect and Foresee Road Ice Formation

Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution

Critical Values of a Kernel Density-based Mutual Information Estimator

Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm

Neural network data clustering on the basis of scale invariant entropy

Correntropy: A Localized Similarity Measure

Structure Analysis of a Probabilistic Network in an Information Geometric Framework

Sapient (Wise) Systems: Implementations, Design, and Operation

Categorization and symbol grounding in a complex environment

Higher Cognitive Abilities (Toward a Physical Theory of the Mind)

Studies on Sparse Array Cortical Modeling and Memory Cognition Duality

Learning Hierarchical Action Selection for an Autonomous Robot

Complex Systems Approaches to Emergent Goal Formation in Cognitive Agents

Limit Cycle Prediction of a Neural Vehicle Control System with Gain-Phase Margin Tester

Neural Network Control of Spark Ignition Engines with High EGR Levels

Temperature Control of a Rubber Shoot Shaping Machine by Recurrent Neural Fuzzy Controller

Designing a Muscle like System Based on PID Controller and Tuned by Neural Network

Extend Single-agent Reinforcement Learning Approach to a Multi-robot Cooperative Task in an Unknown Dynamic Environment

Multivariable Adaptive Control of Nonlinear Unknown Dynamic Systems Using Recurrent Neural-Network

Handwritten Signature Authentication using Artificial Neural Networks

P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data

Wavelet-Based Feature Extraction for Microarray Data Classification

Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection

A computational intelligence-based criterion to detect non-stationarity trends

Extracting Keywords from Research Abstracts for the Neuroinformatics Platform Index Tree

Training Reformulated Product Units in Hybrid Neural Networks

Construction of Neural Network Based Lyapunov Functions

Enhancing Fault Tolerance of Radial Basis Functions

GRNN with Double Clustering

Inheritance of Information in ANNs and Equivalence Relations

Online Training of a Generalized Neuron with Particle Swarm Optimization

A Genetic Algorithm Method for Sensor Data Assimilation and Source Characterization

Learning hydrologic flow separation algorithm and local ANN committee modeling

Extraction of Components with Structured Variance

An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction

Weather Radar Estimates of Rainfall Adjusted to Rain Gauge Measurements Using Neural Networks

The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles

Investigations on the Characteristics of Random Decision Tree Ensembles

Evolutionary Ensemble Creation and Thinning

Ensemble Learning for Hierarchies of Locally Arranged Models

Improving a Neural Network Classifier Ensemble with Multi-Task Learning

Analysis of the Performance of Ensemble of Perceptrons

On the Hardware-Relevant Simulation of Regular Two-Dimensional CNN Processing Grids

Identification of EEG signals in epilepsy by cell outputs of Reaction-Diffusion Networks

A Bio-inspired Computer Fovea Model based on Hexagonal-type Cellular Neural Networks

Information Rate Maximization over a Resistive Grid

Neuromorphic Translational Ego-motion Estimation using Log-Polar Motion Energy

Neural network models for teaching multiplication table in primary school.

How Not to Evaluate a Developmental System

A Demonstration of the Efficiency of Developmental Learning

In-Place Learning for Positional and Scale Invariance

An Architecture for an Adaptive System with Primitive Concept Formation and Consciousness

Experience-Based Identification and Control via Higher-Level Learning and Context Discernment

Multi-view ANNs for Multi-relational Classification

A methodology to train and improve artificial neural networks' weights and connections

A Systems Software Architecture for Training Neural, Fuzzy Neural and Genetic Computational Intelligent Networks

A Novel Nonlinear Dynamical System Control Using Linear Controllers with Nonlinearity Eliminators

Virtual Metrology Technique for Semiconductor Manufacturing

Hybrid EMG Recognition System by MDA and PCA

Hepatitis C Dynamics' Estimation Process by Differential Neural Networks.

Identification of Low Back Injury from EMG Signals using a Neural Network Model

Neuro Tracking Control for Immunotherapy Cancer Treatment

Training of Large-Scale Feed-Forward Neural Networks

A Neural Learning Algorithm for the Diagnosis of Breast Cancer

A Gender Recognition System using Shunting Inhibitory Convolutional Neural Networks

A Variational EM Approach to Predicting Uncertainty in Supervised Learning

Predictive Uncertainty in Environmental Modelling

Variance Stabilizing Regression Ensembles for Environmental Models

Ensemble of Competitive Associative Nets and Multiple K-fold Cross-Validation for Estimating Predictive Uncertainty in Environmental Modelling

Generic Prioritization Framework for Target Selection and Instrument Usage for Reconnaissance Mission Autonomy

Deterministic models and Neural Nets: a successful methodology for the air dispersion models

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A Novel Recurrent Neural Network Based Prediction System for Trading

Content Provider	IEEE Xplore Digital Library
Author	Chai Quek Pasquier, M. Neha Kumar
Copyright Year	2006
Description	Author affiliation: Nanyang Technol. Univ., Singapore (Chai Quek; Pasquier, M.; Neha Kumar)
Abstract	To reduce their exposure to price fluctuations in the markets, traders are increasingly dealing with options and other derivative securities. There is thus a need to address the limitations of traditional parametric pricing methods, which rely on assumptions to capture the complex dynamics of price processes. This paper proposes a novel non-parametric method using a recurrent neural network for estimating the future prices of commodities such as gold and currencies. The price predictions, shown to be accurate and computationally efficient, are used in a hedging system to avoid unnecessary risks. Experiments show that the trading system can, when using the proposed network and strategy, form portfolios yielding a return on investment of nearly 5%.
Starting Page	2090
Ending Page	2097
File Size	349638
Page Count	8
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.246979
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Recurrent neural networks Neural networks Pricing Fluctuations Parametric statistics Economic forecasting Gold Portfolios Investments Instruments
Content Type	Text
Resource Type	Article

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