NDLI: A Hybrid HMM/ANN Based Approach for Online Signature Verification

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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 2007 International Joint Conference on Neural Networks

Message from the General Chair

Program Committee

IJCNN 2007 Reviewers

Conference Topics

2007 International Neural Network Society Officers

2007 Board of Governors

The INNS President's Welcome

IEEE - CIS (EXCOM)

IEEE - CIS (ADCOM-Elected Members)

IEEE Computational Intelligence Society President's Welcome

Cooperating Societies and Sponsors

Conference information

Exhibit Directory

Renaissance Orlando Resort - Conference Meeting Rooms

IJCNN 2007 Schedule-At-A-Glance

IJCNN 2007 Post-Meeting Workshops

Call for papers

Call for papers

Call for papers

IJCNN 2007: Schedule Grids

IJCNN 2007 Program: Sunday, August 12 - Monday, August 13, 2007

Conference Papers

WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation

Building a Family of Neural Networks using Symmetry as a Foundation

Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions

Incremental Learning for Classification of Protein Sequences

Regularization Based Classification Models

Connectionist Computation

A K-Winners-Take-All Neural Network Based on Linear Programming Formulation

Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms

Neural computing for data recovery

Character Recognition using Spiking Neural Networks

Propagation Delays in the Development of SOMs and Abnormal Brain Growth in Autism

On Improving Efficiency of SLIQ Decision Tree Algorithm

Apply Feature Selection to the Integration of TCM and Western Medicine

Recursive Feature Extraction for Ordinal Regression

A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation

TRUST-TECH Based Neural Network Training

STDP enhances frequency synchrony in neural networks with a pacemaker

A Neural Network Model for Real-Time Scheduling on Heterogeneous SoC Architectures

Warranty Cost Forecast Based on Car Failure Data

Image Classification Using Wavelet Coefficients in Low-pass Bands

Robust Pattern Recognition by Interpolating Vectors

Reducing Vibration of the Seat with Semi-active Damper by Using the Artificial Neural Networks

Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries

Training Multilayer Neural Network by Global Chaos Optimization Algorithms

Optimal Estimation of Harmonics in Power System using Intelligent Computing Techniques

Intelligent Tracking Controller Design Using Dynamic Fuzzy Neural Networks

Learning Long-Term Time Series with Generative Topographic Mapping

Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting

Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets

Significance measure of Local Cluster Neural Networks

A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation

Variational Bayes Inference for Generalized Associative Functional Networks

Data-driven models to forecast PM concentration

Mixture of nonlinear models: a Bayesian fit for Principal Curves

Lighting Direction Estimation of a Shaded Image by a Surface-input Regression Network

Bayesian Signal Classifier

Signal Self Organizing Map

A Novel Gene Ranking Algorithm Based on Random Subspace Method

Clustering of symbolic interval data based on a single adaptive L distance

A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces

Fuzzy Lattice Neurocomputing Using Weighted Cosine Similarity Measure

Stability of Cohen-Grossberg Neural Networks with Nonnegative Periodic solutions

Speaker-dependent Bimodal Integration of Chinese Phonemes and Letters Using Multimodal Self-organizing Networks

Neural Network Strategy for Sampling of Particle Filters on the Tracking Problem

DNA Microarray Data Analysis: Effective Feature Selection for Accurate Cancer Classification

Online Learning for Hierarchical Networks of Locally Arranged Models using a Support Vector Domain Model

Object Recognition with Generic Self Organizing Feature Extractors and Fast Gabor Wavelet Transform

Feature-Based Classification of Prostate Ultrasound Images using Multiwavelet and Kernel Support Vector Machines

Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks

Recognition of Colon Cells Using Ensemble of Classifiers

Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis

Selection of the Suitable Neighborhood Size for the ISOMAP Algorithm

Tagging and Tracking in Video Using Neural Net Color Detection and Spatial Filters

A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems

2-D Time Series Model Based Support Vector Machine for Remote Sensing Image Segmentation

A hybrid Support Vector Machine and autoregressive model for detecting gait disorders in the elderly

Complex-valued Neuron to describe the Dynamics after Hopf Bifurcation: an Example of CPG Model for a Biped Locomotion

Anti-aircraft Missile Deployment Optimization Using Hopfield Neural Network

Optimality of LSTD and its Relation to MC

Temperature Control in Precalcinator with Dual Heuristic Dynamic Programming

Chaos control in a neural network with threshold activated coupling

Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification

Independent Sub-Band Functions: Model and Applications

Image Compression Using Growing Neural Gas

Model-free Approximate Dynamic Programming Schemes for Linear Systems

Genetic Optimization of ART Neural Network Architectures

Machine Learning Techniques in Detecting of Pulmonary Embolisms

Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics

Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines

A Hybrid HMM/ANN Based Approach for Online Signature Verification

OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data

Comparison of Real-time Online and Offline Neural Network Models for a UAV

Maximum Margin based Semi-supervised Spectral Kernel Learning

Neural Network based Sensor for Classification of Material Type and its Surface Properties

Enhancing Boosting by Feature Non-Replacement for Microarray Data Analysis

Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression

Neural Modeling Fields for Multitarget/Multisensor Tracking

Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods

Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning

Neural Modeling Fields, Evolution of Consciousness and Cultures

Neural Modeling Fields for Natural Language

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

Simulated Annealing for Pattern Detection and Seismic Application

A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots

Neural Networks and Volterra series for modeling new wireless communication devices

Learning Using Structured Data: Application to fMRI Data Analysis

Wavelet Basis Function Neural Networks

High Speed, Programmable Implementation of a Tanh-like Activation Function and Its Derivative for Digital Neural Networks

Quantifying the Effect of Learning on Recurrent Spikin Neurons

A Hierarchical VQSVM for Imbalanced Data Sets

Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs

Nonlinear independent component analysis by learning generalized adalines

Semantic Memory Knowledge Acquisition Through Active Dialogues

A New Semantic Network Program Based on Combination of Case Knowledge and General Knowledge

Image-to-Image Retrieval Using Computationally Learned Bases and Color Information

Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network

Principal Component Analysis using Constructive Neural Networks

Fast Learning Artificial Neural Network (FLANN) Based Color Image Segmentation in R-G-B-S-V Cluster Space

Dynamic Control of Maglev Transportation System Via Adaptive Fuzzy-Neural-Network

Unbiased Learning for Hierarchical Models

A Neural Network Approach for Bridging the Semantic Gap in Texture Image Retrieval

Weighted Support Vector Regression for robust single model estimation : application to motion segmentation in image sequences

Approximate Sampling Method for Locally Linear Embedding

A Recurrent Neural Network for Non-smooth Nonlinear Programming Problems

An Action Generation Model Using Time Series Prediction

Infrared Flame Detection System Using Multiple Neural Networks

Modeling Human Reading in Conceptual Networks for Text Representation and Comparison

Associative Memory for Online Incremental Learning in Noisy Environments

A Cell Assembly Model of Sequential Memory

BeSOM : Bernoulli on Self-Organizing Map

Evaluation of Performance Measures for SVR Hyperparameter Selection

A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods

FCANN Method Applications for Knowledge Extraction From Previously Trained ANN

Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process

The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation

Research on Diagnosing Heart Disease Using Adaptive Network-based Fuzzy Interferences System

Mixing Aveboost and Conserboost to Improve Boosting Methods

PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge

Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm

Eigenvalue Analysis on Singularity in RBF networks

An Artificial Neural Networks Based Dynamic Decision Model for Time-Series Forecasting

FPGA Implementation of Pulse Density Hopfield Neural Network

Odor Recognition with Synchronization using Integrate and Fire Neurons

Variable Thresholds in the Chaotic Cellular Neural Network

A Biologically Plausible Neuron Circuit

Classification of Infrasound Surf Events Using Parallel Neural Network Banks

Transfer Learning in Decision Trees

Modeling Short Term Interest Rates: A Comparison of Methodologies

Voltage and Current Patterns for Fault Location in Transmission Lines

Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory

Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent

Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks

Quantitative Trait Loci Analysis Using a Bayesian Framework

Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers

Comparison of Artificial Neural Network and Regression Models in Software Effort Estimation

Default ARTMAP 2

A Multimodal Model of Child Language Acquisition at the One-Word Stage

Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses

Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation

Inequality Constraints in Regression Models to Symbolic Interval Variables

Atmospheric Thermodynamic Profiling with Neural Networks

Autonomous Navigational Controller Inspired by the Hippocampus

Geoelectric modeling with Kernel methods

Nonlinear systems identification via two types of recurrent fuzzy CMAC

Agnostic Learning vs. Prior Knowledge Challenge

Chaotic Phenomena from Motion in Image Sequences

Asymmetric Synaptic Plasticity Based on Arbitrary Pre- and Postsynaptic Timing Spikes Using Finite State Model

Chosen Plaintext Attack against Neural Network-Based Symmetric Cipher

Approximate Dynamic Programming and Neural Networks on Game Hardware

One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants

Real Time Credit Card Fraud Detection using Computational Intelligence

Neural Network Deinterlacing Using Multiple Fields and Field-MSEs

Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence

Chaotic Neural Network with Time Delay Term

On Extending the SMO Algorithm Sub-Problem

Face Localization In Color Images Using Dynamic Time Warping And Integral Projections

Neuromorphic CMOS Circuits implementing a Novel Neural Segmentation Model based on Symmetric STDP Learning

A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA

Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control

An Effective Face Recognition under Illumination and Pose Variations

Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation

Damped Vibration Analysis of Extrinsic Fabry-Perot Interferometric Sensors using Artificial Neural Networks

Inference of Genetic Networks using a Reduced NGnet Model

Prediction of Long-range Contacts from Sequence Profile

Organization of hippocampal place cells by enthorinal cortex grid cells. A functional role for the phase precession mechanism.

Theoretical Analysis of Synchronization Phenomena in Two Pulse-Coupled Resonate-and-Fire Neurons

Utilizing Computational Intelligence for DJIA Stock Selection

Improved Lagrange Nonlinear Programming Neural Networks for Inequality Constraints

Study on the Vision Reading Algorithm based on Template Matching and Neural Network

Modeling and Analysis of Human Binocular Perception of Position and Velocity in the Visual Cortex

Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities

Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics

Application of Self-Organizing Map in Aerosol Single Particles Data Clustering

A Chaotic Neural Network with Duffing's Equation

A Novel Adaptive Neuro Fuzzy Inference System Based CPU Scheduler for Multimedia Operating System

Adaptive Classifiers in Stationary Conditions

Just-in-time Adaptive Classifiers in Non-Stationary Conditions

Information Theoretic Vector Quantization with Fixed Point Updates

Connection between Self-Organizing Maps and Metric Multidimensional Scaling

Sparse Distributed Representations for Words with Thresholded Independent Component Analysis

Selection of Import Vectors via Binary Particle Swarm Optimization and Cross-Validation for Kernel Logistic Regression

Comparison of neural network based fingerprint classification techniques

Pseudo RBF Network for Position Independent Hand Posture Recognition System

A Model of Wind-up based on Short-term and Long-term Synaptic Plasticity Mechanisms

An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network

Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons

Automatic Calibration of Numerical Models using Fast Optimisation by Fitness Approximation

Fault Tolerance Comparison of IDS Models with Multilayer Perceptron and Radial Basis Function Networks

Application of Support Vector Regression to Temperature Forecasting for Short-term Load Forecasting

Performance Comparison of SOM Based Hybrid Hardware Classifiers

Compact hardware for real-time speech recognition using a Liquid State Machine

3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization

Probabilistic Text Change Detection Using an Immune Model

Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy

Input Variables Selection Using Mutual Information for Neuro Fuzzy Modeling with the Application to Time Series Forecasting

Kernel-based Subspace Analysis for Face Recognition

Joint Entropy Maximization in the Kernel-Based Linear Manifold Topographic Map

An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network

A Nearest-Neighbour Method with Self-organizing Incremental Neural Network

Modular Neural Networks for Reinforcement Learning with Temporal Intrinsic Rewards

«Neuromathematics» - Open platform to accelerate complex applied math problems solutions using neural network algorithms

Application of Multi Objective Evolutionary Programming to Combined Economic Emission Dispatch Problem

The Improved Correlation Matrix Memory (CMML)

The Systematic Trajectory Search Algorithm for Feedforward Neural Network Training

Language acquisition and category discrimination in the Modeling Field Theory framework

Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR

Cortical aperiodic shutter enabling phase transitions at theta rates

A Hierarchical Generative Model for Overcomplete Topographic Representations in Natural Images

Neural Network Ensembles for Time Series Prediction

Orientation Selectivity for Representation of Facial Expression Changes

Objective Segmentation Based on Characteristics of Single Channel MR Images

Approximation to a Compact Set of Functions by Feedforward Neural Networks

Computational Templates, Neural Network Dynamics, and Symbolic Logic

Self-Organizing Maps as Traveling Computational Templates

A New Method of Solving Permutation Problem in Blind Source Separation for Convolutive Acoustic Signals in Frequency-domain

Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm

Local Density Estimation based Clustering

Modeling Overlapping Execution/Observation Brain Pathways

Regression in the Presence Missing Data Using Ensemble Methods

Investigating the Use of an Evolutionary Agent-based System for Classification Tasks

Bootstrap Methods for Foreign Currency Exchange Rates Prediction

Reinforcement Learning: An On-Line Framework Using Support Vectors

Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation

Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences

An Attention Selection Model with Visual Memory and Online Learning

On practical use of stagewise second-order backpropagation for multi-stage neural-network learning

A Neural Network Model for Planning Force and Posture in Three-digit Object Holding

A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number

Approximated Geodesic Updates with Principal Natural Gradients

An Iterative Learning Algorithm for Multi-Channel Coherence Analysis

Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit

Artificial neuron models for hydrological modeling

Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes

The Trouble with Weight-Dependent STDP

Reinforcement Learning for Topographic Mappings

A Hardware-friendly Support Vector Machine for Embedded Automotive Applications

Neural Network vs. Linear Models for Stock Market Sectors Forecasting

Simplified Control Structure for Current Control of Single Phase Rectifiers Using COT-ANN-PWM

Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines

Inconsistency - Friend or Foe

Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms

Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing

A reversing buffer mechanism that enables instances of retrospective activity in hippocampal regions CA3 and CA1

A Nonparametric Approach for Active Contours

Autonomous Incremental Visual Environment Perception Based on Visual Selective Attention

An advantage of chaotic neural dynamics

Lung Cancer Identification by an Electronic Nose based on an Array of MOS Sensors

Enhancing both generalization and fault tolerance of multilayer neural networks

Risk Assessment Algorithms Based on Recursive Neural Networks

An Application of Spike-Timing-Dependent Plasticity to Readout Circuit for Liquid State Machine

Automated Abstraction of Dynamic Neural Systems for Natural Language Processing

Limit Cycles and Bifurcations in Cellular Nonlinear Networks

How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain.

A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class

The Hopfield model and its role in the development of synthetic biology.

Short Term Load Forecasting Using Particle Swarm Optimization Based ANN Approach

Robotic Architecture Inspired on Behavior Analysis

Reasoning and Learning About Past Temporal Knowledge in Connectionist Models

A Neural Network based Audio Content Classification

Structural Classifier Ensembles for Vector Space Embedded Graphs

Visualization and classification of graph-structured data: the case of the Enron dataset

Acoustic Modeling using Vector Quantization in Kernel Feature Space and Classification using String Kernel based Support Vector Machines

Semi-Supervised Clustering for Vigilance Analysis Based on EEG

Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings

Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients

Greenland Temperatures and Solar Activity: A Computational Intelligence Approach

Gene Expression Clustering: a Novel Graph Partitioning Approach

Identification of compounds in ice analogs with NMF algorithms

A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases

Implementation of multi-layer leaky integrator networks on a cellular processor array

A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network

Neural Associative Memories and Hidden Markov Models for Speech Recognition

Performance Evaluation of Two Distributed BackPropagation Implementations

Parallel Learning of Large Fuzzy Cognitive Maps

Using Ensembles of Neural Networks to Improve Automatic Relevance Determination

Bagging Predictors for Estimation of Software Project Effort

Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform

A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines

Clustering, Assessment and Validation: an application to gene expression data

A Neuro-Genetic Approach to Real-Time Visual Grasp Synthesis

Feature/Model Selection by the Linear Programming SVM Combined with State-of-Art Classifiers: What Can We Learn About the Data

RADDACL: A Recursive Algorithm for Clustering and Density Discovery on Non-linearly Separable Data

Encoding Complete Body Models Enables Task Dependent Optimal Behavior

A Probabilistic Method for Motion Pattern Segmentation

Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series

Lyapunov Design of Repetitive Learning Control in Network Management Processes

Assessing flexible models and rule extraction from censored survival data

Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks

Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine

FEBAM: A Feature-Extracting Bidirectional Associative Memory

Large Scale Imbalanced Classification with Biased Minimax Probability Machine

A Neural Reinforcement Learning Approach to Gas Turbine Control

Parallel Growing SOM Monitored by Genetic Algorithm

A Genetic Approach for Linear-Quadratic Channel Identification With Usual Communication Inputs

A Functional Link Network With Ordered Basis Functions

Upper Bound on Pattern Storage in Feedforward Networks

Generalised Kernel Machines

Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting

Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines

A Cross-Modal System for Cell Migration Image Annotation and Retrieval

An Evolutionary Approach for the Greenfield Planning Problem in Distribution Networks

A Piecewise Linear Network Classifier

Multi-class kernel logistic regression: a fixed-size implementation

Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers

Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning

Almost Linear Biobasis Function Neural Networks

Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning

Cortical representation of information about visual attributes: one network or many?

Long Term Prediction of Chaotic Time Series with the Aid of Neuro Fuzzy Models, Spectral Analysis and Correlation Analysis

Analysis of mammogram using self-organizing neural networks based on spatial isomorphism

Amplitude and Spike Timing Dependent Plasticity

Buried Underwater Object Classification Using a Collaborative Multi-Aspect Classifier

Local Learning of Tide Level Time Series using a Fuzzy Approach

Structure and Parameter Learning Algorithm of Jordan Type Recurrent Neural Networks

Learning Semi-supervised SVM with Genetic Algorithm

Spectral Clustering of Synchronous Spike Trains

A Spatial Domain Sigma-Delta Modulation via Discrete-Time Cellular Neural Networks

The Application of Dynamic Synapse Neural Networks on Footstep and Vehicle Recognition

Pairwise Permutation Coding Neural Classifier

Extraction of rules from Artificial Neural Network for Dutch Porous Asphalt Concrete Pavement

Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System

Modified Forward Only Counterpropogation Network (MFOCPN) for Improved Color Quantization by Entropy based Sub-clustering

Artificial Neural Networks as Modeling Tools in the Identification of Drugs Release Mechanisms from Hydrodynamically-Balanced Systems Formulated with Various Polymers

Intuitive Clustering of Biological Data

A Novel Weighted LBG Algorithm for Neural Spike Compression

Adaptation in Neural Activity for Directional Control

Orthonormalization Learning Algorithms

Growing Self-Organizing Maps for Surface Reconstruction from Unstructured Point Clouds

Adaptive Diagonalization for Canonical Correlation Analysis

The Neural Network Approach to Automatic Construction of Adaptive Meshes on Multiply-connected Domains

Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions

Unregistered Face Discrimination by the Face Orientation and Size Recognition

Power Transformers Diagnosis Using Neural Networks

Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding

Dimensionality Reduction via Self-Organizing Feature Maps for Collaborative Filtering

Hybrid Solution for the Feature Selection in Personal Identification Problems through Keystroke Dynamics

DB-GNG: A constructive Self-Organizing Map based on densilty

Rotated General Regression Neural Network

Speaker Recognition Using Pulse Coupled Neural Networks

Emergent Effector-Independent Internal Spaces: Adaptation and Intermanual Learning Transfer in Humans and Neural Networks

A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization

A Higher Order Associative Memory with McCulloch-Pitts neurons and Plastic Synapses

Boosting Learning Machines with Function Compositions to Avoid Local Minima in Regression Problems

Unsteady Three Dimensional Aerodynamic Load Prediction Using Neural Networks

Iris Discrimination Combined with the Shape and Orientation Recognition

Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis

A Self-tuning Controller for Real-time Voltage Regulation

Range Data Approximation for Mobile Robot by Using CAN2

Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity

A Robotic Optical Circuit that Generates a 3D-visual Image: Solution to the inverse optics problem for robotic visual seeing by reverse engineering the neurophysiology of the modalities of the retinal receptors

Preference Learning for Category-Ranking based Interactive Text Categorization

Enhanced Facilitatory Neuronal Dynamics for Delay Compensation

A New Nonlinear Similarity Measure for Multichannel Biological Signals

Approximate Robust Policy Iteration for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Parametric Transition Matrices

An Application of Category-Theoretic Design Methods to the Control of a Simulated Robot

A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters

Window Merge Neural Gas for Processing Pattern Sequences

A New Approach for Blind Separation of Convolutive Mixtures

Emergence of Language-Specific Phoneme Classifiers in Self-Organized Maps

Slow Coherency and Angle Modulated Particle Swarm Optimization Based Islanding of Large Scale Power Systems

DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices

Forecasting Seasonal Time Series with Neural Networks: A Sensitivity Analysis of Architecture Parameters

Forecasting the Unknown Dynamics in NN3 Database Using a Nonlinear Autoregressive Recurrent Neural Network

Neural Network Initialization with Prototypes - Function Approximation in Engineering Mechanics Applications

Backward Varilable Selection of Support Vector Regressors by Block Deletion

Comparison of Adaptive Resonance Theory Neural Networks for Astronomical Region of Interest Detection and Noise Characterization

Toyota Prius HEV neurocontrol

Evolution of NN for the Design of Virtual Agents under Limited Resources Constraints

Hierarchical MMC Networks as a manipulable body model

Adaptive Neural Filters with Fixed Weights

Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets

Online training of Hierarchical RBF

Learning and Memory of Spatial Relationship by a Neural Network with Sparse Features

Effectiveness of a Coupled Oscillator Network for Surface Discernment by a Quadruped Robot based on Kinesthetic Experience

Self-Organized Hebbian Inference of Environment Topology by Distributed Sensor Networks

Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation

Spatiotemporal Integration of Neuronal Activity for Single-Trial Classifications of Bistable Perception

Control of multi-stable chaotic neural networks using input constraints

A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation

A new cluster validity index for prototype based clustering algorithms based on inter- and intra-cluster density

A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition

Practical Dynamic Logic GMTI Tracker

Optimal Learning Rates for Some Principal Component Analysis Algorithms

An Associative Memory for Association Rule Mining

Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry

System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks

Accelerating Local Convergence of the Information Theory-Based Algorithm for Principal Component Analysis

A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces

Face Recognition in Video Using a What-and-Where Fusion Neural Network

An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction

Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble

Learning Hierarchies from ICA Mixtures

Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection

Variable selection by rank-one updates for least squares support vector machines

Handling Missing Data with the Tree-Structured Self-Organizing Map

An Associative Memory Readout in ESN for Neural Action Potential Detection

Neural Networks for Complex Valued Signals: A Preliminary Study

Complementary Learning Fuzzy Neural Network: An Approach to Imbalanced Dataset

Do Neural Models Scale up to a Human Brain?

Stable intelligent adaptive controller design for pitch-rate command control

Complementary Decision Making System for Aiding Medical Image Diagnosis

Theta Neuron Networks: Robustness to Noise in Embedded Applications

Biologically Inspired Hardware Implementation of Neural Networks with Programmable Conductance

Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach

An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection

Applying REC Analysis to Ensembles of Particle Filters

Learning Methods for DNA Binding in Computational Biology

A Reduced Multivariate Polynomial Based Neural Network Model Pattern Classifier for Freeway Incident Detection

Model of Balance of Excitation and Inhibition in Hippocampal Sharp Wave Replays and Application to Spatial Remapping

Random Feature Subset Selection for Analysis of Data with Missing Features

A New Minimax Probability Based Classifier Using Fuzzy Hyper-Ellipsoid

Generation of Incompliete Test-Data usinng Bayesinan Networks

Selecting the Most Influential Nodes in Social Networks

Water Inflow Forecasting using the Echo State Network: a Brazilian Case Study

Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease

Concept Description - A Fresh Look

Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic

Feature Extraction of Waveform Signals for Uncertain Dynamic Processes Using Neural Networks

Portable Biomimetic Retina for Learning, Perception-based Image Acquisition

Artificial Neural Networks for Real Time Reader Devices

An Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding

A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition

A Bi-Objective Model for Shelf Space Allocation Using a Hybrid Genetic Algorithm

A Neuroinformatics Platform for Vision Science: Visiome

Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network

The potentiality of support vector regression with immune algorithm for regional electric load forecasting

A Novel Automatic Framework for Scoliosis X-Ray Image Retrieval

Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems

Probability Density Function Estimation Using Orthogonal Forward Regression

Local Signal based Supplementary Excitation Controller for Damping Inter-area Oscillations through Recurrent Neural Networks

Performance Analysis of Direct Heuristic Dynamic Programming using Control-Theoretic Measures

Palmprint Verification Based on Robust Orientation Code

Neuro-evolutionary approach to stock market prediction

Online Incremental Learning for High Voltage Bushing Condition Monitoring

A Modified RBF Neural Network in Pattern Recognition

Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer

Off-line Signature Verification Using Writer-Independent Approach

Multi-Stage Optimal Component Analysis

Uncertainty in the Output of Artificial Neural Networks

Text Representations for Text Categorization: A Case Study in Biomedical Domain

Quantitative Bayesian Inference by Qualitative Knowledge Modeling

Discrete-Time Backstepping Neural Control for Synchronous Generators

Competitive Decomposition of Input Space in a Competitive Modular Multinet System

Model Selection and Assessment Using Cross-indexing

Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps

Incremental Learning for Text Document Classification

A Unified Framework To Find Differentially Expressed Genes from Microarray Experiments

Selection of Best Projection from 3D Star Coordinate Projection Space using Energy Minimization and Topology Preserving Mapping

A New Score Correlation Analysis Multi-class Support Vector Machine for Microarray

Annealing Based Approach to Optimize Classification Systems

The Multilayer In-Place Learning Network for the Development of General Invariances and Multi-Task Learning

A Robotic Neural Net Based Visual-sensory Motor Control System that Reverse Engineers the Motor Control Functions of the Human Brain

Sequential Inductive Transfer for Coronary Artery Disease Diagnosis

Pre-classification Module for an All-Season Image Retrieval System

Similarity-based Image Retrieval by Self-Organizing Map with Refractoriness

Humanoid Robotics Modeling by Dynamic Fuzzy Neural Network

Fault Diagnosis of an Actuator in the Attitude Control Subsystem of a Satellite using Neural Networks

Auto-Associative Neural Network Based on New Hybrid Model of SFNN and GRNN

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A Hybrid HMM/ANN Based Approach for Online Signature Verification

Content Provider	IEEE Xplore Digital Library
Author	Zhong-Hua Quan De-Shuang Huang Kun-Hong Liu Kwok-Wing Chau
Copyright Year	2007
Description	Author affiliation: Chinese Acad. of Sci., Hefei (Zhong-Hua Quan; De-Shuang Huang; Kun-Hong Liu)
Abstract	This paper presents a new approach based on HMM/ANN hybrid for online signature verification. A group of ANNs are used as local probability estimators for an HMM. The Viterbi algorithm is employed to work out the global posterior probability of a model. The proposed HMM/ANN hybrid has a strong discriminant ability, i.e, from a local sense, the ANN can be regarded as an efficient classifier, and from a global sense, the posterior probability is consistent with that of a Bayes classifier. Finally, the experimental results show that this approach is promising and competing.
Starting Page	402
Ending Page	405
File Size	965577
Page Count	4
File Format	PDF
ISBN	9781424413799
ISSN	10987576
DOI	10.1109/IJCNN.2007.4370990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Handwriting recognition Artificial neural networks Context modeling Machine intelligence Probability Neural networks Viterbi algorithm Writing Automatic speech recognition Hidden Markov Model Artificial Neural Networks Online signature verification
Content Type	Text
Resource Type	Article

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