NDLI: Neural network hardware

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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.

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

Volume 4 - 1992

Volume 3 - 1992

Volume 2 - 1992

Volume 1 - 1992

A learning algorithm for multi-layer perceptron networks with nondifferentiable nonlinearities

A new neuron model for additional learning

A BP variant with improved convergence and generalization

Learning in connectionist networks using the Alopex algorithm

An error correcting algorithm for Hopfield network

New accelerated learning algorithm to reduce the oscillation of weights in multilayered neural networks

The effects of segmentation on back-propagation networks

Probability of error, maximum mutual information, and size minimization of neural networks

Decoupled recursive estimation training and trainable degree of feedforward neural networks

A hybrid multilayer neural network for binary pattern classification and its low-bit learning algorithm

Function approximation using a partition of the input space

An algebraic approach to learning in syntactic neural networks

The geometrical learning of multi-layer artificial neural networks with guaranteed convergence

A self-training, self-repairing back-propagation environment

Adaptive resonance associative map: a hierarchical ART system for fast stable associative learning

Comparison of reinforcement algorithms on discrete functions: learnability, time complexity, and scaling

Fault tolerance of the backpropagation neural network trained on noisy inputs

Inheriting knowledge in neural networks

A genetic algorithm as the learning procedure for neural networks

An active pattern set strategy for enhancing generalization while improving backpropagation training efficiency

A rapid multi-layer perceptron training algorithm

Kernel regression and radial basis function net: some theoretical studies

Robust PCA learning rules based on statistical physics approach

Gray layer technology: incorporating a priori knowledge into feedforward artificial neural networks

Prediction of software reliability using feedforward and recurrent neural nets

Comparative performance measures of fuzzy ARTMAP, learned vector quantization, and back propagation for handwritten character recognition

Using feedforward networks to distinguish multivariate populations

Neural programming

Solving the hidden node problem in networks with ellipsoidal units and related issues

Fault tolerance training improves generalization and robustness

Enhancements to probabilistic neural networks

Measures of serial data compressibility by neural network predictors

Learning of the Coulomb energy network on the variation of the temperature

Pattern classifying neural network based on Fisher's linear discriminant function

Tools for dynamic network structures: GRAPE grammars

Handling sequences with a competitive recurrent network

LVQPAK: A software package for the correct application of Learning Vector Quantization algorithms

Explicit solutions of the optimum weights of layered neural networks

An adaptive back-propagation learning method: A preliminary study for incremental neural networks

A new learning strategy for the two-time-scale neural controller with its application to the tracking control of rigid arms

A parallel sorting network without comparators: A neural network approach

Activated hidden connections to accelerate the learning in recurrent neural networks

Acceleration for both Boltzmann machine learning and mean field theory learning

Theoretical derivation of momentum term in back-propagation

Attentional focus training by boundary region data selection

Learnings and applications of feedforward nets

A back-propagation network for analog signal separation in high noise environments

Dynamic neural networks with the use of divide and conquer

A generic algorithm for training networks with artificial dendritic trees

Feed forward networks and the Cramer-Rao bound

Incremental learning using hidden layer activations-Tests on fish identification data

Generation of organized internal representation in recurrent neural networks

Neural net configuration design using theory of sensitivity and tolerances

Neural networks as a tool to generate pattern classification algorithms

Backward construction-a decomposed learning method for robot force/position control

Q-learning with generalisation: an architecture for real-world reinforcement learning in a mobile robot

Dynamic programming for optimal control of setup scheduling with neural network modifications

Stabilization of nonlinear dynamical systems using neural networks

Hierarchical intelligent control for robotic motion by using fuzzy, artificial intelligence, and neural network

On neural approximation of fuzzy systems

Optimization of fuzzy systems by approximation of fuzzy relations

A new neural net approach to robot 3D perception and visuo-motor coordination

Learning fuzzy rule-based neural networks for function approximation

Fuzzy neural-logic system

Initializing multilayer neural networks with fuzzy logic

Fuzzy parameter adaptation in neural systems

OWA neurons: a new class of fuzzy neurons

On the relations between radial basis function networks and fuzzy systems

A fuzzy neural networks technique with fast backpropagation learning

Fuzzy function approximation

Modular T-mode neural network learning hardware implementations with analog storage capability

On-chip learning in the analog domain with limited precision circuits

A digital neural network architecture using random pulse trains

Learning and optimization with cascaded VLSI neural network building-block chips

The noisy-leaky integrator model implemented using pRAMs

LSI implementation of pulse-output neural network with programmable synapse

A line and edge orientation sensor

Circuit implementation of a trainable neural network using the generalized Hebbian algorithm with supervised techniques

Silicon implementation of an artificial dendritic tree

Generalization ability of artificial neural network using Fahlman and Lebiere's learning algorithm

An estimation of sample complexity of the neural network model in the extended PAC learning framework

ALADIN: algorithms for learning and architecture determination

Improving the performance of probabilistic neural networks

Analysis of a learning algorithm for neural network classifiers

Optimizing multilayer neural networks using fractal dimensions of time-series data

Cresceptron: a self-organizing neural network which grows adaptively

A robot organizing purposive behavior by itself

Acousto-conformational phase transitions in the cytoskeleton, adaptive resonance networks with nonlinear synapses and trainable intraneuronal pattern recognition

Automatic extraction of strokes by quadratic neural nets

Directions in future neural modelling: a biological perspective

Modeling users with neural architectures

An integrated neural network-event-related potentials model of temporal and probability context effects on event categorization

Cognitive networks for automated target recognition and autonomous system applications

Equilibrium analysis of continuous bidirectional associative memory

Principal components extraction by autoassociative feed-forward networks

Use of adaptive resolution for better CMAC learning

Guaranteed storing limit cycles into a discrete-time asynchronous neural network

Group structure of Hadamard memories

Storage of sparse-coded hetero-associations with the competitive synaptic growth network

A product-of-norms model for recurrent neural networks

A new neural associative memory with learning

Associative memory on the basis of high correlation

Orthonormalized associative memories

An efficient simulation model of the Hopfield neural networks

A dynamic approach to improve sparsely encoded associative memory capability

Encoding and recall of spatiotemporal images with Oscillatron-1

A neural network computation algorithm for discrete-time linear system state estimation

Meta-neural networks that learn by learning

Time warping recurrent neural networks and trajectory classification

Cloning cerebellar cortex organization with multi-layer cellular neural network (CNN)

Sensitivity analysis for feedforward artificial neural networks with differentiable activation functions

Symmetric neural networks and its examples

A synthesis procedure for a generalized neural network

Learning potential function and differential inclusion

Precision analysis of stochastic pulse encoding algorithms for neural networks

Spatiotemporal neural network using axodendritic chemical synapse model

A novel approach to interface design for a neural network expert system

Artificial intelligence for explosive ordnance disposal system (AI-EOD)

An intelligent forecasting system of stock price using neural networks

Training self-configuring backpropagation networks

SIR: simultaneous induction of rules using neural networks

Improving generalizing capability of connectionist model through emergent dynamic behavior

Discrete wave machine and Fourier transform

A neural network model for learning rule-based systems

Miller's magical numbers are relevant to neural networks

Neural network structure for navigation using potential fields

Neural network controllers for the X29 aircraft

Diagonal recurrent neural networks for nonlinear system control

Design and evaluation of a robust dynamic neurocontroller for a multivariable aircraft control problem

Construction of neural network classification expert systems using switching theory algorithms

Diagnosis: hypothetical reasoning with a competition-based neural architecture

Automatic translation from an expert system to a neural network representation

A conceptual interpretation of spurious memories in the Hopfield-type neural network

A learning method for recurrent networks based on minimization of finite automata

Heuristics for the extraction of rules from discrete-time recurrent neural networks

The bifurcating neuron: building block for a new generation of artificial neural networks

A unipolar terminal-attractor based neural associative memory with adaptive threshold and perfect convergence

ANN bandpass filters for electro-optical implementation

An optical implementation of adaptive resonance utilizing phase conjugation

Optical implementation of Weber-Law neurons based on the dynamic behavior of electron trapping material

Intracellular mechanisms in neuronal learning: adaptive models

Real-time learning: a ball on a beam

A neural pattern generator that tunes into the physical dynamics of the limb system

An optimal multilayer neural interpolating (OMNI) net in a generalized Fock space setting

Rational approximation, harmonic analysis and neural networks

Fundamental design and learning concepts in robust recurrent neural networks

The synthesis of arbitrary stable dynamics in non-linear neural networks. II. Feedback and universality

A polynomial time algorithm for generating neural networks for classification problems

A head-centered representation of 3D target location derived from opponent eye position commands

A neural network based testbed for modelling sensorimotor integration in robotic applications

Neural space representation in a moving frame

Quantum neurodynamics: neural stochastic filtering with the Schroedinger equation

Neural network hardware

Optoelectronic fractal scanning technique for wavelet transform and neural net pattern classifiers

[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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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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