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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

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

Volume 5 - 2005

Volume 4 - 2005

Volume 3 - 2005

Volume 2 - 2005

2005 IEEE International Joint Conference on Neural Networks (IJCNN) - Volume 2

Proceedings of the International Joint Conference on Neural Networks 2005 (IEEE Cat. No. 05CH37663C)

Copyright and reprint permission

IJCNN 2005: Session Grid

Message from the General Chair

2005 International Neural Network Society Officers

The INNS President's Welcome

Conference topics

IEEE - CIS (Excom - Adcom)

IEEE Computational Intelligence Society President's Welcome

General Information

Florida Institute of Technology

Conference meeting rooms

IJCNN 2005 Schedule-at-a-Glance

The IJCNN 2005 post-conference workshops

Table of contents

Analog current-mode design for soft-max computation

Low-voltage pseudo floating-gate reconfigurable linear threshold elements

The effect of quantization on support vector machines with Gaussian kernel

Building a cheaper artificial brain

A digital LSI architecture of elastic graph matching and its FPGA implementation

Simulated control of a tracking mobile robot by four aVLSI integrate-and-fire neurons paired into maps

Recurrent neural networks training with stable risk-sensitive Kalman filter algorithm

A method of oscillatory trajectory generation using recurrent hybrid neural networks

A new k-winners-take-all neural network

A constrained optimization algorithm for training locally recurrent globally feedforward neural networks

SCRAM: statistically converging recurrent associative memory

A new model for learning in graph domains

Empirical approximation for Lyapunov functions with artificial neural nets

Ability to skip steps emerging from chaotic dynamics

Nonlinear dynamics on VSF-network

Dynamical behavior of a chaotic neural and its application to optimization problems

An analysis of associative chaotic neurodynamics by using surrogate neurons

A new kind of Hopfield networks for finding global optimum

Learning cycles brings chaos in Hopfield networks

Phase diagrams for locally Hopfield neural networks in presence of correlated patterns

2 types of complex-valued Hopfield networks and the application to a traffic signal control

A new N-parallel updating method of the Hopfield-type neural network for N-queens problem

On-line system identification using context discernment

The k-server problem: a reinforcement learning approach

Task similarity measures for transfer in reinforcement learning task libraries

Neural network model for time series prediction by reinforcement learning

Learning nonlinear state-space models for control

A neural network model for the decision-making process based on AHP

Negative reinforcement and backtrack-points for recurrent neural networks for cost-based abduction

Distributed computation for neural-based abductive reasoning

Transductive modeling with GA parameter optimization

Symbolic rule extraction with a scaled conjugate gradient version of CLARION

One-against-all multi-class SVM classification using reliability measures

K-fold generalization capability assessment for support vector classifiers

Weighted support vector machine for data classification

Algorithms of fast SVM evaluation based on subspace projection

Yet faster method to optimize SVR hyperparameters based on minimizing cross-validation error

Support vector regression performance analysis and systematic parameter selection

Pre-selection of working set for SVM decomposition algorithm

The intermediate matching kernel for image local features

MIMO SVMs for classification and regression using the geometric algebra framework

Fuzzy integral for a rapid mixture of support vector machines

Feature subset selection for support vector machines using confident margin

Assignment kernels for chemical compounds

Characterization of data complexity for SVM methods

Optimizing resources in model selection for support vector machines

A convergence rate estimate for the SVM decomposition method

Deriving kernels from MLP probability estimators for large categorization problems

SVM ensembles for selecting the relevant feature subsets

Pattern de-noising based on support vector data description

Kernel relevant component analysis for distance metric learning

A new saliency measure for inputs selection and node pruning in neural network

One-step neural network inversion with PDF learning and emulation

Effective neural network pruning using cross-validation

An efficient learning algorithm for finding multiple solutions based on fixed-point homotopy method

An analysis of underfitting in MLP networks

Experimental evaluation of a hybrid method for configuring ensemble encoding receptors

Dynamic construction of fault tolerant multi-layer neural networks

The p-Center machine

A better scaled local tangent space alignment algorithm

Gaussian processes of nonlinear diffusion filtering

Fast training of multilayer perceptrons with a mixed norm algorithm

Decorrelating parametrical neural network

Second-order backpropagation algorithms for a stagewise-partitioned separable Hessian matrix

Prediction of time to event for censored data: ridge regression with linear constraints in kernel space

A threshold varying bisection method for cost sensitive learning in neural networks

A single-layer radial basis function network classifier and its applications

OLS versus SVM approach to learning of RBF networks

Designing RBF classifiers for weighted boosting

Iterative feature weighting for identification of relevant features with radial basis function networks

Sequential neuron pruning algorithm for RBF network with guaranteed stability

Factors of overtraining with fuzzy ARTMAP neural networks

ART2 based classification of sparse high dimensional parameter sets for a simulation parameter selection assistant

Fuzzy PSO: a generalization of particle swarm optimization

Simulating artificial life using Boltzmann machines

Artificial cognitive BP-CT ant routing algorithm

Basic property of a quantum neural network composed of Kane's qubits

Quantum gauged neural networks: learning and recalling

Stochastic complexity of variational Bayesian hidden Markov models

New experiments on ensembles of multilayer feedforward for classification problems

A research on combination methods for ensembles of multilayer feedforward

Dynamically weighted majority voting for incremental learning and comparison of three boosting based approaches

A comparison of combination methods for ensembles of RBF networks

New boosting methods of Gaussian processes for regression

Learning probability density functions from marginal distributions with applications to Gaussian mixtures

Evaluation of cluster combination functions for mixture of experts

Mixture of heterogeneous experts applied to time series: a comparative study

Classification and verification through the combination of the multi-layer perceptron and auto-association neural networks

A classifier ensemble model and its applications

Systematic rewiring in associative neural networks with small-world architecture

Motion perception with recurrent self-organizing maps based models

Retrieval property of associative memory with negative resistance

A weighted voting model of associative memory: theoretical analysis

New results on binary auto- and heteroassociative morphological memories

Self-organizing neural grove and its applications

An incremental growing neural gas learns topologies

Robust continuous learning in a WTA neural network for clustering symbol strings

An associative memory for the on-line recognition and prediction of temporal sequences

Similar-image retrieval systems using ICA and PCA bases

Blind inversion of Wiener system for single source using nonlinear blind source separation

Blind separation of convolved sources using the information maximization approach

BSS Toolbox for delayed and convolved mixtures

Diagonally weighted and shifted criteria for minor and principal component extraction

Analysis of signal separation and signal distortion in feedforward and feedback blind source separation based on source spectra

Weighted Rayleigh quotients for minor and principal component extraction

Feature ranking using supervised neural gas and informational energy

An improved kernel Fisher discriminant classifier and its applications

An optimal entropy estimator for discrete random variables

Comparing "pattern discovery" and back-propagation classifiers

Multivariate regression model selection with KIC for extrapolation cases

Robust information clustering

Learning nonlinear constraints with contrastive backpropagation

Sequential relevance vector machine learning from time series

Performance optimization of function localization neural network by using reinforcement learning

Sparse Bayesian learning and the relevance multi-layer perceptron network

Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learning

A directional multi-resolution ridgelet network

Volume 1 - 2005

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)

Proceedings of the International Joint Conference on Neural Networks, 2003.

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227)

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan)

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

IJCNN-91-Seattle International Joint Conference on Neural Networks

1990 IJCNN International Joint Conference on Neural Networks

International 1989 Joint Conference on Neural Networks

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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