NDLI: Learning, detecting, understanding, and predicting concept changes

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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

IJCNN 2009 conference proceedings

Welcome from the general chair

Organizing committee

Program committee

IJCNN 2009 reviewers

Conference topics

2009 International Neural Network Society Officers

Welcoming message from the president of INNS

2009 IEEE CIS Officers (Executive & Adcom Committees)

Welcome from the IEEE computational intelligence society president

Conference information

IJCNN 2009 schedule-at-a-glance

Conference papers

Neuron mechanism of human languages

Neural fields for complex behavior generation on autonomous robots

Self-organized spiking neural network recognizing phase/frequency correlations

A novel pruning algorithm for self-organizing neural network

DensityRank: A novel feature ranking method based on kernel estimation

Identification and control of time-varying plants using type-2 fuzzy neural system

YinYang bipolar dynamic logic (BDL) and equilibrium-based computational neuroscience

Neuro-dynamic programming with recurrent critic for automatic train regulation of metro line

Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem

A model of an intraconnected neural parallel bidirectional memory

Power System Stability enhancement by Single Network Adaptive Critic Stabilizers

A minimum interconnection direct storage model of a neural bidirectional memory

Constructing prediction intervals for neural network metamodels of complex systems

Developing optimal neural network metamodels based on prediction intervals

Neural Network based Intrusion Detection System for critical infrastructures

A neurocomputational model of automaticity and maintenance of abstract rules

Computationally efficient FLANN-based intelligent stock price prediction system

Delayed neural networks with multistable almost periodic solutions

Slow Feature Discriminant Analysis and its application on handwritten digit recognition

An oscillatory correlation model of object-based attention

Learning averages over the lie group of symmetric positive-definite matrices

Fast principal component analysis for face detection using cross-correlation and image decomposition

A simple design and implementation of reconfigurable neural networks

A local approach of adaptive affinity propagation clustering for large scale data

A new supervised local modelling classifier based on information theory

Using default ARTMAP for cancer classification with MicroRNA expression signatures

Nonlinear controller optimization of a power system based on reduced multivariate polynomial model

Automatic road extraction from satellite imagery using LEGION networks

Gene expression data classification based on non-negative matrix factorization

Orienting learning by exploiting sociality: An evolutionary robotics simulation

A constructive enhancement for Online Sequential Extreme Learning Machine

Fast record detection in large databases using new high speed time delay neural networks

Modeling melody recognition using a sequence recognition neural network with meta-level processes

Knowledge-internalization process for neural-networks practitioners

Percept-related cortical induced activity during bistable perception

Circuit implementation of SVM training

Maximal-discrepancy bounds for regularized classifiers

Neural networks cartridges for data mining on time series

A data mining approach to solve the goal scoring problem

Self organizing maps for class discovery in the quantitative colocalization analysis feature space

A fast SVM training method for very large datasets

Learning, detecting, understanding, and predicting concept changes

Temporal competitive learning induced in neural networks by spike timing-dependent plasticity

Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison

A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset

Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps.

Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm

Rules for information maximization in spiking neurons using intrinsic plasticity

Evaluation of robustness and performance of Early Stopping Rules with Multi Layer Perceptrons

Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods

A hybrid search algorithm in a multi-agent system environment for multicriteria optimization of products design

Using input-space bisection and backpropagation as a method to emulate complex numerical simulations for design decision making

Dynamics of a discrete-time bidirectional ring of neurons with delay

A Novel neuro-fuzzy assessment index for orthodontics

Simplified SOM-neural model for video segmentation of moving objects

Robustness of power laws in degree distributions for spiking neural networks

A likelihood-based decision feedback system for multi-aspect classification of underwater targets

Using an artificial neural network to predict necrotizing enterocolitis in premature infants

A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography

Fast parzen window density estimator

Cognitive simulation of academic science

Functional Link Artificial Neural Network-based disease gene prediction

Chaotic Complex-Valued Bidirectional Associative Memory

Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness

Identification of artifacts in scenery images using color and line information by RBF network

Stability analysis of Takagi-Sugeno fuzzy Hopfield neural networks with discrete and distributed time varying delays

Local properties of RBF-SVM during training for incremental learning

An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle

Cortical mechanisms of memory formation and readout

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data

New CNN based algorithms for the full penetration hole extraction in laser welding processes: Experimental results.

Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach.

SVM+ regression and multi-task learning

Concentration based feature construction approach for spam detection

Neural sliding mode control with finite time convergence

Scalable statistical learning: A modular bayesian/markov network approach

Genetic algorithm for reservoir computing optimization

Batch linear manifold topographic map with regional dimensionality estimation

Improving the separability of a reservoir facilitates learning transfer

Adaptive modulation in an OFDM communications system with artificial neural networks

Data Clustering Using a Modified Kuwahara Filter

A novel audio color watermarking scheme based on self-organizing map

Inferring Protein Interactions from Sequence using Support Vector Machine

A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32

An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization

Computationally efficient process control with neural networkbased predictive models

Effect of refractoriness on learning performance of a pattern sequence

Effects of the short-cut connection on the dynamics of a delayed ring neural network

From variable weighting to cluster characterization in topographic unsupervised learning

Semi-supervised clustering using similarity neural networks

LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programming

Nonlinear time series online prediction using reservoir kalman filter

A support vector hierarchical method for multi-class classification and rejection

Stable fourier neural networks with application to modeling lettuce growth

A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments

Visualization tool for a Self-Splitting modular Neural Network

A binary classification and online vision

Compression and stylometry for author identification

Partitioning strategies for modular neural networks

Self-enhancement learning: Self-supervised and target-creating learning

Selective enhancement learning in competitive learning

Inference of genetic networks using linear programming machines: Application of a priori knowledge

Realizing general MLP networks with minimal FPGA resources

Adaptive dynamic programming for discrete-time systems with infinite horizon and ∈-error bound in the performance cost

Using the GTSOM network for mobile robot navigation with reinforcement learning

Orientational features with the SNT-grid

The multi-phase method in fast learning algorithms

Improving rule extraction from neural networks by modifying hidden layer representations

Sequential hierarchical recruitment learning in a network of spiking neurons

Improving the performance of ANN training with an unsupervised filtering method

Using parallel GPU architecture for simulation of planar I/F networks

A motor learning neural model based on Bayesian network and reinforcement learning

Comparison of an efficient direct storage BAM model with traditional neural bidirectional memories

Flood forecasting technology with radar-derived rainfall data using Genetic Programming

Matrix-based Kernel Principal Component analysis for large-scale data set

On the selection of decision trees in Random Forests

MultiLogistic Regression using Initial and Radial Basis Function covariates

Investigation into effectiveness of rough sets in prediction of enzyme and protein structure classes

Probabilistic principal component analysis based on JoyStick Probability Selector

A speed-up algorithm for Poisson Propagation

Application of PSO and MPSO in project scheduling of the first mining face in coal mining

Training of radial basis function classifiers with resilient propagation and variational Bayesian inference

Binary neural network based 3D facial feature localization

The Multiple Pairs SMO: A modified SMO algorithm for the acceleration of the SVM training

Individual and cooperative tasks performed by autonomous MAV Teams driven by embodied neural network controllers

Assessment of fetal reactivity biopatterns during labour by fetal ECG analysis

Global uniform stability analysis of biological networks with different time-scales under perturbations

Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model

SNAC convergence and use in adaptive autopilot design

PSO based neural network for time series forecasting

Weighted voting-based ensemble classifiers with application to human face recognition and voice recognition

A growing self-organizing network for reconstructing curves and surfaces

Learning Vector Quantization with adaptive prototype addition and removal

Bivariate Generalized Linear Model for Interval-Valued Variables

Random subspaces of the instance and principal component spaces for ensembles

GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas

Learning averages over the lie group of unitary matrices

A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons

A retrospective on Adaptive Dynamic Programming for control

On automatic generation of VHDL code for self-organizing map

A computational platform for visual fear conditioning

A hybrid feature extraction framework based on risk minimization and independence maximization

TurSOM: A Turing inspired Self-Organizing Map

A class of discrete-time recurrent neural networks with multivalued neurons

Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron

Solving convex optimization problems using recurrent neural networks in finite time

Progressively introducing quantified biological complexity into a hippocampal CA3 model

An automatic segmentation technique for color images based on SOFM neural network

A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians

How balance between LTP and LTD can be controlled in spike-timing-dependent learning rule

Prerequisites for integrating unsupervised and reinforcement learning in a single network of spiking neurons

Gaussian process for long-term time-series forecasting

Estimation of classification complexity

Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology

Help-training semi-supervised LS-SVM

Morphological auto-associative memories applied to true-color image patterns

Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks

Relational reinforcement learning applied to shared attention

Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control

Discrete-time decentralized neural block controller for a five DOF robot manipulator

Optimization based on dialectics

Mobile robot vision-based navigation using self-organizing and incremental neural networks

Automated classification of dopaminergic neurons in the rodent brain

Model reduction of neural network trees based on dimensionality reduction

Sparse support vector regressors based on forward basis selection

Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study

Bayesian PCA for reconstruction of historical sea surface temperatures

Using continuous action spaces to solve discrete problems

An optimization approach to understanding structure-function relationships in the visual cortex

Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection

Affective computation on EEG correlates of emotion from musical and vocal stimuli

Hand sign recognition system based on hybrid network classifier

Growing mechanisms and cluster identification with TurSOM

Hebbian learning with winner take all for spiking neural networks

Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy

Trouble condition sign discovery based on support vector machines for hydroelectric power plants

Complex-valued neural networks: The merits and their origins

Representation of an environmental space by grid fields: A study with a computational model of the grid cell based on a column structure

Obstacle to training SpikeProp networks — Cause of surges in training process —

Bifurcation analysis of a reconfigurable hybrid spiking neuron and its novel online learning algorithm

Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles

The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems

Learning using hidden information (Learning with teacher)

Chaotic phase synchronization for visual selection

Subspace based linear programming support vector machines

Subspace based least squares support vector machines for pattern classification

Clustering of symbolic data using the assignment-prototype algorithm

A network pruning algorithm for combined function and derivative approximation

The renormalization of neuronal dynamics can enhance temporal synchronization among synaptically coupled neurons

Dynamic associative memory, based on open recurrent neural network

Rapid acoustic transmission loss prediction using an operationally adaptive system

Temporal semantics: An extended definition for neural morphisms

Executive function, rule selection, and probability judgment

A self-organizing neural network using fast training and pruning

A regularized formulation for spectral clustering with pairwise constraints

Speed control of a mobile robot using neural networks and fuzzy logic

A linguistic CMAC equivalent to a Linguistic Decision Tree for classification

Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme

Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems

Combination of generative models and SVM based classifier for speech emotion recognition

A kernel hat matrix based rejection criterion for outlier removal in support vector regression

Incremental learning in nonstationary environments with controlled forgetting

Time series and neural networks comparison on gold, oil and the euro

Neural network based admission controller for proximity aware mobile services

Towards automated assessment of engineering assignments

Online organization of chaotic cell assemblies. A model for the cognitive map formation?

Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates

Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks

A study of brain structure evolution in simple embodied neural agents using genetic algorithms and category theory

An improved method of DHP for optimal control in the clarifying process of sugar cane juice

A cross-situational algorithm for learning a lexicon using Neural modeling fields

Global optimization, Meta Clustering and consensus clustering for class prediction

Detection of epileptiform activity in unresponsive patients using ANN

Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park

Combining Artificial Neural Network for diagnosing polluted insulators

Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach

Support vector self-organizing learning for imbalanced medical data

Echo-state-network-based real-time wind speed estimation for wind power generation

Autoregressive model of the hippocampal representation of events

Controlled Complete ARMA Independent Process Analysis

Improving gradient-based learning algorithms for large scale feedforward networks

Just in time classifiers: Managing the slow drift case

Neural networks and Markov models for the iterated prisoner's dilemma

Discovering novelty in spatio/temporal data using one-class support vector machines

Long-term prediction of time series by combining direct and MIMO strategies

A neural network and CBR-based model for Sewing Minute Value

Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques

Extracting activated regions of fMRI data using unsupervised learning

Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions

A new method to generate color texture images based on HSV and olfactory system bionic model

Harmonic identification using an Echo State Network for adaptive control of an active filter in an electric ship

Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces

A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach

Curiosity driven incremental LDA agent active learning

Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming

Joint tracking-registration with linear complexity: An application to range sensors

Adaptive neural network controller for the flush material Belt Weigh Feeder

Network-Structured Particle Swarm Optimizer considering neighborhood relationships

Face Recognition using new image representations

Learning Bayesian networks to perform feature selection

Single-trial EEG data to classify type and intensity of facial emotion from P100 and N170

A novel meta database for relationships between Bioinformatics databases

Neural networks to estimate the risk for preeclampsia occurrence

Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method

Which model to use for the Liquid State Machine?

Using Correntropy as a cost function in linear adaptive filters

Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data

Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks

Sonar based Simultaneous Localization and Mapping using a Neuro Evolutionary Optimization

An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction

Detecting load conditions in human walking using expectation maximization and neural networks

A robust extended Elman backpropagation algorithm

Nonlinear synaptic Neural Network for Maximum Flow problems

Optimal connectivity in hardware-targetted MLP networks

Stable-yet-switchable (SyS) attractor networks

Identification of moving limb using near infrared spectroscopic signals for brain activation

Chaotic dynamics in quasi-layered recurrent neural network model and application to complex control via simple rule

Sparse kernel feature analysis using FastMap and its variants

Diversity exploration and negative correlation learning on imbalanced data sets

A novel chaotic spiking neuron and its paralleled spike encoding function

A neural network receiver for EM-MWD baseband communication systems

Survival prediction in patients undergoing ischemic cardiopathy

A new discriminant analysis based on boundary/non-boundary pattern separation

A new discriminant analysis for non-normally distributed data based on datawise formulation of scatter matrices

Evaluating rank-order code performance using a biologically-derived retinal model

Intelligent stock trading system based on SVM algorithm and oscillation box prediction

Online temporal pattern learning

Incremental clustering of gesture patterns based on a self organizing incremental neural network

Quantum Morphogenetic System in image recognition

Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instruments

A representative validation of a neural 3G admission control through rules extraction

Function approximation capability of a novel fuzzy flip-flop based neural network

Tree Architecture Pattern Distributor: a task decomposition classification approach

Improved security of neural cryptography using don't-trust-my-partner and error prediction

Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach

Soccer robot identification using Kernel based weighted least squares

Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG

CART data analysis to attain interpretability in a Fuzzy Logic Classifier

Intelligent interfaces for locomotory prosthesis

Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics

Boundedness and stability for the solutions of impulsive neural networks with time-varying delay

Snap-drift neural network for selecting student feedback

An introduction to morphological perceptrons with competitive learning

Modular Image Principal Component Analysis for face recognition

Hybrid intelligent system clonart applied to face recognition

CpG-discover: A machine learning approach for CpG islands identification from human DNA sequence

Extraction of distance information from the activity of entorhinal grid cells: a model study

Centroid neural network with Chi square distance measure for texture classification

Temporal context as cortical spatial codes

Design, modeling, and position control of a single-phase reluctance machine

Reinforcement learning of multiple tasks using parametric bias

General regression artificial neural networks for two-phase flow regime identification

Training of recurrent Internal Symmetry Networks by backpropagation

Entropy spatial clustering in epileptic EEG

Emergence of perceptual states in nonlinear lattices: A new computational model for perception

A modified sparse distributed memory model for extracting clean patterns from noisy inputs

SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining

Neural architectures for thinking, reasoning and being conscious

A novel portfolio optimization method for foreign currency investment

Community self-organizing map and its application to data extraction

A neural model for the adaptive control of saccadic eye movements

Compact floating-gate learning array with STDP

Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systems

Rotor flux and torque estimator for vector controlled induction drive using ANN

Piecewise multi-classification support vector machines

Predicting final extent of ischemic infarction using an artificial neural network analysis of multiparametric MRI in patients with stroke

SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes

An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence

Learning the number of gaussian components using hypothesis test

Rain rate retrieval by processing the observations of the 85 and 85 GHz channels of the SSM/I and TMI passive microwave sensors

Robust kernel PCA using fuzzy membership

Diffusive coupled cyclic negative feedback systems

Neuronal network identification of a wastewater treatment prototype

Emotions, language, and Sapir-Whorf hypothesis

An observer-based neural networks control scheme for nonlinear systems

High Order Neural Networks for wind speed time series prediction

Neural network identification of a double fed induction generator prototype

Evolving granular classification neural networks

A stochastic neural model for fast classification of binary images

Representation and feature selection using multiple kernel learning

How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models

Rapid and direct quantification of longitudinal relaxation time (T) in look-locker sequences using an adaptive neural network

Discrete time recurrent neural network observer

Bimal: Bipartite matching alignment for the contact map overlap problem

One-Against-All-based multiclass SVM strategies applied to vehicle plate character recognition

Fixed-Weight learning Neural Networks on Optical Hardware

Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais

Intelligent clinical decision supports for interferon treatment in chronic hepatitis C and B based on i-biopsy™

Bounded-time system identification under neuro-sliding training

Multiple alignment of contact maps

BISAR: Boosted input selection algorithm for regression

Neural numerical modeling for uncertain distributed parameter systems

Analysis of hyperspectral data with diffusion maps and Fuzzy ART

Neural networks with asymmetric activation function for function approximation

Hardware implementation of Spiking Neural Network classifiers based on backpropagation-based learning algorithms

Feed-forward network training using optimal input gains

The usage of Artificial Neural Networks in the classification and forecast of potable water consumption

Creating an ensemble of diverse support vector machines using Adaboost

A model of cooperative agent based on imitation and Maslow's Pyramid of needs

Hand movement recognition for Brazilian Sign Language: A study using distance-based neural networks

Design of artificial neural networks using a modified Particle Swarm Optimization algorithm

Adaptive Local Hyperplane for regression tasks

Benchmarking reservoir computing on time-independent classification tasks

A regression model with a hidden logistic process for feature extraction from time series

Using weak supervision in learning Gaussian mixture models

Bidirectional Associative Memories, Self-Organizing Maps and k-Winners-Take-All: Uniting feature extraction and topological principles

Image processing for eye detection and classification of the gaze direction

Temporal semantics: An Adaptive Resonance Theory approach

Combining Artificial Neural Network and Particle Swarm System for time series forecasting

Synthesis of crossed dipole frequency selective surfaces using genetic algorithms and artificial neural networks

A prime step in the time series forecasting with hybrid methods: The fitness function choice

Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena

Agents in neural uncertainty

Recognition and classification of P300s in EEG signals by means of feature extraction using wavelet decomposition

A dynamical connectionist model of idea generation

On speeding up computation in information theoretic learning

Neural learning of Kalman filtering, Kalman control, and system identification

Detection of articulation disorders using Empirical Mode Decomposition and neural networks

Constructing clinical scoring systems to determine the need for an oral glucose tolerance test

Stochastic orthogonal and nonorthogonal subspace basis pursuit

A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning

On classifiability of wavelet features for EEG-based brain-computer interfaces

Chaotic model with data assimilation using NARX network

Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamics

Impact of multiple clusters on neural classification of ROIs in digital mammograms

Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining

Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis

A simple overcomplete ICA algorithm by non-orthogonal pair optimizations

Computational implications of microcircuit specializations in forebrain circuits for motivated action selection

Effects of relevant and irrelevant primes on idea generation: A computational model

An efficient active set method for SVM training without singular inner problems

Financial time series prediction using exogenous series and combined neural networks

Neural networks for fitting PES data distributions of asphaltene interaction

High-conductance states on a neuromorphic hardware system

Applications of color image processing using three-layer cellular neural network considering HSB model

A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs

Cellular neural network with dynamic template and its output characteristics

Binary Segmentation with Neural Validation for Cursive Handwriting Recognition

Families of orthonormalization algorithms

Normalized phase shift motion energy neuron populations for image velocity estimation

On multi-set canonical correlation analysis

Automatic identification of useful independent components with a view to removing artifacts from eeg signal

Complex valued recurrent neural networks for noncircular complex signals

A behavioral study of learning in standard SOM and in S-SOM

Improved wavelet neural network for early diagnosis of cancer patients using microarray gene expression data

An incremental learning algorithm of Recursive Fisher Linear Discriminant

Generalized Policy Iteration for continuous-time systems

The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge

Pose invariant face recognition using Cellular Simultaneous Recurrent Networks

A brief survey of computational approaches in Social Computing

Parallel ant colony optimizers with local and global ants

GPU-based simulation of cellular neural networks for image processing

Application of particle swarm optimizers to two-objective problems in design of switching inverters

Steganalysis of MP3Stego

Introducing a training methodology for cellular neural networks solving partial differential equations

An incremental affinity propagation algorithm and its applications for text clustering

Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method

Music recommendation and query-by-content using Self-Organizing Maps

Counting objects with biologically inspired regulatory-feedback networks

New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks

Tighter Perceptron with improved dual use of cached data for model representation and validation

A GA-based flexible learning algorithm with error tolerance for digital binary neural networks

A conceptual neural model of idea generation

A study of the effect of noise injection on the training of artificial neural networks

An intelligent paradigm for electric generator control based on supervisory loops

A QoS network architecture to interconnect large-scale VLSI neural networks

Voice-based gender identification via multiresolution frame classification of spectro-temporal maps

Irregularity detection on low tension electric installations by neural network ensembles

An Agent-Based computational model of a self-organizing project management paradigm for research teams

Time perception in shaping cognitive neurodynamics of artificial agents

Nonlinear dimension reduction using ISOMap based on class information

Adaptive frame selection for improved face recognition in low-resolution videos

An alpha derivative formulation of the Hamilton-Jacobi-Bellman equation Of Dynamic Programming

Finding sensors for homeostasis of biological neuronal networks using artificial neural networks

Reconfigurable disruption tolerant routing via Reinforcement Learning

Parallelizing two classes of neuromorphic models on the Cell multicore architecture

Partitioned neural networks

Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks

An iterative learning scheme for multistate complex-valued and quaternionic Hopfield neural networks

Adaptive incremental principal component analysis in nonstationary online learning environments

Single vs. population cell coding: Gaze movement control in target search

An advanced spike detection and sorting system

Data classification with a generalized Gaussian components based density estimation algorithm

A binary Self-Organizing Map and its FPGA implementation

An MLP-based face authentication technique robust to orientation

Design of experiments for MR damper modelling

Improving management of Anemia in End Stage Renal Disease using Reinforcement Learning

Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals

Overhead conductor thermal dynamics identification by using Echo State Networks

Fuzzy ARTMAP rule extraction in computational chemistry

Using diversity to handle concept drift in on-line learning

Dimensionality reduction by self organizing maps that preserve distances in output space

Unsupervised nonparametric density estimation: A neural network approach

Centroid neural network for face recognition

Class specific redundancies in natural images: A theory of extrastriate visual processing

A Cellular Neural Network as a Principal Component Analyzer

Singing voice recognition based on matching of spectrogram pattern

Sensor integration in KIV brain model for decision making

An unsupervised learning method for representing simple sentences

A receptive field based approach for face detection

A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments

Image retrieval based on intrinsic spectral histogram representation

Optimal dimension reduction for image retrieval with correlation metrics

Tree structures with attentive objects for image classification using a neural network

A kernel-based feature weighting for text classification

A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature

Reducing the run-time complexity of support vector data descriptions

Facial expression recognition based on Liquid State Machines built of alternative neuron models

Effects of widely separated clusters on lotto-type competitive learning with particle swarm features

Hermite neural network-based intelligent sensors for harsh environments

A compact network with improved generalization using wavelet basis function network for static non-linear functions

Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks

Coarse image region segmentation using region-and boundary-based coupled MRF models and their PWM VLSI implementation

Combined multi-layer perceptron neural network and sliding mode technique for parallel robots control : An adaptive approach

Video steganalysis using motion estimation

Performance of STLF model from the PSO, time series and regression perspectives

Comparison of feedforward and feedback neural network architectures for short term wind speed prediction

Efficient neural network pruning during neuro-evolution

Predictive learning with sparse heterogeneous data

A robust nonlinear projection method using the neural gas network

Searching for microRNA prostate cancer target genes

Neural network model for integration and visualization of introgressed genome and metabolite data

Classification of startle eyeblink metrics using neural networks

Neural network disturbance observer based controller of an electrically driven stewart platform using backstepping for active vibration isolation

Clustering online game communities through SOM

Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors

Nonlinear predictive control for oxygen supply of a fuel cell system

A Neural Network pruning approach based on Compressive Sampling

Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency

Level-set segmentation with contour based object representation

Vision based Injector Spray pattern Testing system

Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling

From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA

Protection ellipsoids for stability analysis of feedforward neural-net controllers

Applying neural fields to the stability problem of an inverted pendulum as a simple biped walking model

An intelligent hybrid controller for speed control and stabilization of synchronous generator

Adaptive fuzzy priors for Bayesian inference

Improved propensity matching for heart failure using neural gas and self-organizing maps

Neural networks versus Linear and Sequential Programming for Gas Lift Optimization in a two oil wells system

Online identification of generator dynamics in a multimachine power system with a spiking neural network

Neural signal-detection noise benefits based on error probability

Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal

Learning nonlinear functions with MLPs and SRNs

Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information

Modeling high-order human intelligence with intelligence of swarm

Very short-term electricity load demand forecasting using support vector regression

Goal-directed feature learning

Evolution of recollection and prediction in neural networks

Fast structural learning of distance-based neural networks

A universal abstract-time platform for real-time neural networks

Non-negative matrix factorization Vs. FastICA on mismatch negativity of children

Synchronization of coupled pulse-type hardware neuron models for CPG model

Partial synchronization of neural activity and information processing

Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems

Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failure

A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects

Using non-oscillatory dynamics to disambiguate simultaneous patterns

Neural network based secure media access control protocol for wireless sensor networks

Model this! Seven empirical phenomena missing in the models of cortical oscillatory dynamics

Patient stratification with competing risks by multivariate Fisher distance

A new nonlinear filter design for the detection of phase transitions in ECoG data

Temporal coding: Competition for coherence and new perspectives on assembly formation

Effects of learning rate on the performance of the population based incremental learning algorithm

A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information

A PSO with quantum infusion algorithm for training Simultaneous Recurrent Neural Networks

Seizure prediction through dynamic synchronization measures of neural populations

View-invariant object category learning, attention, recognition, search, and scene understanding

Brain fMRI processing and classification based on combination of PCA and SVM

Cognitive memory: Human and machine

Can consciousness ever be modelled?

Putting more brain-like intelligence into the electric power grid: What we need and how to do it

Lessons from complex systems modeling: Crisis, innovation, decision making

Simulated annealing for pattern detection and seismic analysis

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Learning, detecting, understanding, and predicting concept changes

Content Provider	IEEE Xplore Digital Library
Author	Nishida, K. Yamauchi, K.
Copyright Year	2009
Description	Author affiliation: Division of Synergetic Information Science, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan (Nishida, K.; Yamauchi, K.)
Abstract	The demand for learning machines that can adapt to concept change, the change over time of the statistical properties of a target variable, has become more urgent. We, therefore, propose a system in which multiple online and offline classifiers are used for learning changing concepts. Our system is able to: respond to both sudden and gradual changes, handle recurring concepts, detect the occurrence of change, understand the hidden contexts of past concepts, and predict the next concept. We evaluate the effectiveness of our system's elements and demonstrate that our system performed well with synthetic concept-drifting and concept-shifting datasets.
Starting Page	2280
Ending Page	2287
File Size	2068498
Page Count	8
File Format	PDF
ISBN	9781424435487
ISSN	10987576
DOI	10.1109/IJCNN.2009.5178619
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Information science Machine learning Yttrium Postal services Windows Fault detection Noise robustness Neural networks Performance evaluation
Content Type	Text
Resource Type	Article

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