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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.

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

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

Volume 4 - 2003

Volume 3 - 2003

Volume 2 - 2003

A hybrid dynamical system as an automaton on the fractal set

Phase transitions in a probabilistic cellular neural network model having local and remote connections

Function complexity estimation and its application to the optimum tie of geophysical data using Anns

Chaotic associative recalls for fixed point attractor patterns

Improved chaotic associative memory using distributed patterns for image retrieval

Incremental learning by VSF network and its chaotic effects

Convergence analysis of chaotic dynamic neuron

A chaotic neural network for reducing the peak-to-average power ratio of multicarrier modulation

Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks

Yet another "optimal" neural representation for combinatorial optimization

A neural network model for general minimax problem

A synthesis procedure for associative memories using cellular neural networks with space-invariant cloning template library

A winner-take-all circuit based on second order Hopfield neural networks as building blocks

Relaxing in a warped space: an effect due to the cooperation of static and dynamical neurons

New results on exponential periodicity of delayed neural networks

Relating Bayesian learning to training in recurrent networks

Adaptive parallel identification of dynamical systems by adaptive recurrent neural networks

Implicit de-noising in hybrid recurrent nets for meta knowledge abduction

Two-cell cellular neural networks: generation of new hyperchaotic multiscroll attractors

Feedforward dynamic neural network technique for modeling and design of nonlinear telecommunication circuits and systems

Toward an analog VLSI implementation of adaptive resonance theory (ART2)

Integrated pulse neuron circuit for asynchronous pulse neural networks

Architecture research and hardware implementation on simplified neural computing system for face identification

Hardware design of CMAC neural network for control applications

A model-selection approach to the VLSI design of vector quantizers

Silicon approximation to biological neuron

A VLSI implementation of mixed-signal mode bipolar neuron circuitry

A VLSI Hamming artificial neural network with k-winner-take-all and k-loser-take-all capability

An analog neural oscillator circuit for locomotion controller in quadruped walking robot

A survey of perceptron circuit complexity results

Platform performance comparison of PALM network on Pentium 4 and FPGA

Neural network for LIDAR detection of fish

Suppression of maternal ECG from fetal ECG using neuro fuzzy logic technique

Eggplant classification using artificial neural network

Monitoring seagrass health using neural networks

A strategy for an efficient training of radial basis function networks for classification applications

Image processing techniques and neural network models for predicting plant nitrate using aerial images

Failure analysis of transmission devices using self-organizing map

Application of neural network on LTCC fine line screen printing process

Effect of regularization term upon fault tolerant training

The application of neural network soft sensor technology to an advanced control system of distillation operation

Explaining how a multi-layer perceptron predicts helicopter airframe load spectra from continuously valued flight parameter data

Artificial neural networks methods applied to conductometric microhotplate data for the identification of the type and relative concentration of chemical warfare agents

Multi-scale high-speed network traffic prediction using combination of neural networks

Neural network based benchmarks in the quality assessment of message digest algorithms for digital signatures based secure Internet communications

Single-trial analysis of post-movement MEG beta synchronization using independent component analysis (ICA)

A hybrid HMM-neural network with gradient descent parameter training

A learning algorithm with adaptive exponential stepsize for blind source separation of convolutive mixtures with reverberations

Finding the ordered roots of arbitrary polynomials using constrained partitioning neural networks

Improved multiuser detectors employing genetic algorithms in a space-time block coding system

A music retrieval system based on the extraction of non trivial recurrent themes and neural classification

Support vector machines for multi-class signal classification with unbalanced samples

Inheritance of information in multi-layer sigma-pi neural networks

Piecewise-linear modeling of analog circuits using trained feed-forward neural networks and adaptive clustering of hidden neurons

Interpretation of geophysical surveys of archaeological sites using artificial neural networks

Solving quadratic programming problems with linear Hopfield networks

Model selection for k-nearest neighbors regression using VC bounds

Binary image coding using cellular neural networks

Acoustic recurrent neural networks echo cancellers

Identification of a typical CD player arm using a two-layer perceptron neural network model

Rectilinear floorplanning of FPGAs using Kohonen map

RLS lattice algorithm using gradient based variable forgetting factor

On the transformation mechanisms of multilayer perceptrons with sigmoid activation functions for classifications

Pulse coupled neural network for motion detection

High performance associative memory with distance based training algorithm for character recognition

Simulation of the visual cortex with laterally connected spiking neural networks

License plate location based on a dynamic PCNN scheme

Automated tracking and classification of infrared images

A method for selective color images compression

Real-time image transmission on the TCP/IP network using wavelet transform and neural network

Image edge detection using adaptive morphology Meyer wavelet-CNN

The effects of training algorithms in MLP network on image classification

A design of the object detection system using the RGA

Exploitation of sparse properties of support vector machines in image compression

Unsupervised clustering of texture features using SOM and Fourier transform

Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks

Retina encoder tuning and data encryption for learning retina implants

Face detection and emotional extraction system using double structure neural network

A reliable method for recognition of paper currency by approach to local PCA

Spectral histogram based face detection

Scaling, rotation, and translation invariant image recognition using competing multiple subspaces

Firing correlations improve detection of moving bars

Location of coffee beans using Hopfield-type neural network

Comments on using MLP and FFT for fast object/face detection

Empirical inference problems

Orthogonal transformation of output principal components for improved tolerance to error

Initial species discrimination experiments with riverine salmonids

Inversion of neural network underwater acoustic model for estimation of bottom parameters using modified particle swarm optimizers

Broadband sonar target classification: pool experiments

A canonical coordinate decomposition network

SOMICA - an application of self-organizing maps to geometric independent component analysis

Sparse linear representations for recognition

Goal-directed spatial navigation of the rat depends on phases of theta oscillation in hippocampal circuitry

Building and using a hierarchical representation of space

Reinforcement learning for hierarchical and modular neural network in autonomous robot navigation

Reinforcement learning in associative memory

A recursive neural network model for processing directed acyclic graphs with labeled edges

A hierarchical Bayesian learning scheme for autoregressive neural networks

Real-time surface meshing through HRBF networks

Improving pseudorandom bit sequence generation and evaluation for secure Internet communications using neural network techniques

A neurobiological theory of meaning in perception

The role of temporal coding in the processing of relational information in the mind-brain

Understanding neural computation in terms of pattern languages

On a pulse-coupled network of spiking neurons having quantized state

Evaluating quality of text clustering with ART1

Using adaptive resonance theory and local optimization to divide and conquer large scale traveling salesman problems

Snap-drift: real-time, performance-guided learning

Bidirectional ARTMAP: an artificial mirror neuron system

Confidence-clustering supervised radial basis function neural networks

A generalized feedforward neural network classifier

Transductive confidence machine for active learning

Associative memories for handwritten pattern recognition

Error whitening criterion for linear filter estimation

Blind dereverberation of speech signals using independence transform matrix

Employing adaptive functions and maximum entropy principle for nonlinear blind source deconvolution

An adaptive sub-space filter model

Some dynamics arising from learning in a hippocampal model

Theta theory: Requirements for encoding events and task rules explain theta phase relationships in hippocampus and neocortex

Learning spatial navigation using chaotic neural network model

Processing of analogy in the thalamocortical circuit

Design and synthesis methods for cellular neural networks

Feature guided visual attention with topographic array processing and neural network-based classification

A new structure of large-neighborhood cellular nonlinear network (LN-CNN)

High speed cellular array computer realizations for low power applications

Cortically-inspired visual processing with a four layer cellular neural network

RBF-based real-time hierarchical intrusion detection systems

Centroid stability with K-means fast learning artificial neural networks

Refine decision boundaries of a statistical ensemble by active learning

Invariant feature representation by sparse vectors using adaptive subspace self-organizing map

Neuro emission controller for minimizing cyclic dispersion in spark ignition engines

Mathematical underpinning of adaptive capability of recurrent neural network with fixed weights

A design of model driven cascade PID controllers using a neural network

Adaptive series-parallel identification of dynamical systems with uncertain bifurcations and chaos

Intelligent control of non-linear plants using type-2 fuzzy logic and neural networks

Dynamic cortical cooperation related to visual perception

A dynamical model for multi-scale pixel clustering

Monaural speech segregation and oscillatory correlation

Recurrent timing nets for auditory scene analysis

Multiple model classification using SVM-based approach

Training support vector machines: a quantum-computing perspective

Training support vector machines with particle swarms

Fuzzy least squares support vector machines

Reordering adaptive directed acyclic graphs: an improved algorithm for multiclass support vector machines

Support vector machines for class representation and discrimination

Using support vector machines in optimization for black-box objective functions

Biologically motivated computational models

Volume 1 - 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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