NDLI: Volume : 2 - 1992

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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

A neural network for estimating the parameters of multiple sinusoids

Neural network communication receiver based on the nonlinear filtering

Application of neural networks in the acousto-ultrasonic evaluation of metal-matrix composite specimens

Artificial neural network for ECG arrhythmia monitoring

Neural network channel equalization

A neural model for adaptive Karhunen Loeve transformation (KLT)

Averaging and normal deviation theory for nonlinear nets

Pao networks for data transmission equalization

A neural network approach to analyzing multi component mixtures

Helicopter fault detection and classification with neural networks

Plastic network for predicting the Mackey-Glass time series

Learning vector quantization without and with habituation

A subband coding scheme and the Bayesian neural network for EMG function analysis

Analysis and design of a recurrent neural network for real-time parameter estimation

On the application of feed forward neural networks to channel equalization

A neural-network-based approach for routing in a packet switching network

Automated sound localization through adaptation

Data rectification using recurrent (Elman) neural networks

Parallely cascaded heterogeneous perceptron applied to base-4 digital computations

A neural network approach to on-line monitoring of a turning process

Chaotic oscillators and complex mapping feed forward networks (CMFFNs) for signal detection in noisy environments

Alopex algorithm for adaptive control of dynamical systems

A decentralized adaptive joint neurocontroller

Neural network control for intelligent end effector of manipulators via proximity sensing

Hopfield net generation and encoding of trajectories in constrained environment

A one neuron truck backer-upper

Direct adaptive control of flexible space structures using neural networks

Adaptive power system control with neural networks

Adaptive feedforward control of cyclic movements using artificial neural networks

ALINET: neural net automatic alignment of high energy laser resonator optical elements

Compensation of unmodeled friction in manipulators using neural networks

Nonlinear estimation of torque in switched reluctance motors using grid locking and preferential training techniques on self-organizing neural networks

Hybrid control of nonlinear dynamical systems using neural nets and conventional control schemes

Neural control systems trained by dynamic gradient methods for automotive applications

An input tracking control system using a forward model on neural network

A neural network architecture for path planning

Using a cerebellar model arithmetic computer (CMAC) neural network to control an autonomous underwater vehicle

Remarks on a neural network controller which uses an auto-tuning method for nonlinear functions

Learning how to grasp under supervision

A neural network solution for bipedal gait synthesis

Multi-sensor integration system with fuzzy inference and neural network

Knowledge acquisition of strategy and tactics using fuzzy neural networks

An interval fuzzy model using a fuzzy neural network

Training a hybrid neural-fuzzy system

Fuzzy clustering using extended MFA for continuous-valued state space

A neural network model based on fuzzy classification concept

Fuzzy expert systems versus neural networks

Fuzzy clustering using fuzzy competitive learning networks

On the mapping capabilities of fuzzy inference systems

Fuzzy reasoning implemented by neural networks

Fuzzy neural network with fuzzy signals and weights

On the equivalence of neural networks and fuzzy expert systems

Design and development of a real-time neural processor using the Intel 80170NX ETANN

A VLSI neural network for morphology classification

A methodology for selection of analog hardware for back-propagation algorithm implementation

Information-theoretic analysis of finite register effects in neural networks

A computing system of (modular) chips

A behavioral approach to testability of neural networks

A VLSI implementable design for Boltzmann machine

Implementation issues in a multi-stage feed-forward analog neural network

VLSI design of compact and high-precision analog neural network processors

A novel technology for fabricating customizable VLSI artificial neural network chips

A reconfigurable multi-chip analog neural network: recognition and back-propagation training

Neural processor implementation using MSPSE devices

Multitechnology neural network accelerator

A radial basis function neurocomputer implemented with analog VLSI circuits

Architectural synthesis for digital neural networks

An implementable digital multilayer neural network (DMNN)

A data-driven implementation of back propagation learning algorithm

Threshold non-linearity effects on weight-decay tolerance in analog neural networks

SPERT: a VLIW/SIMD neuro-microprocessor

The use of cache memory in neurocomputer design

A low-cost application-specific neural network implementation with floating gate weights

Hardware implementation of trained networks

Concurrent object-oriented simulation of neural network models

Reconfigurable fault tolerant neural network

Progress in forecasting by neural networks

An applications of adaptive neural networks for an in-process monitoring and supervising system

Combining multiple neural network paradigms and applications using SESAME

Application of neural networks to empirical (vs. model) data: a diffusion tube experiment sample (white blood cells application)

An optimization network for solving a set of simultaneous linear equations

A new self-organisation strategy for floorplan design

Nonlinear system identification using spatiotemporal neural networks

Artificial neural network as a solution to predict 3-D workspace distortion in real-time

Bidirectional associative memory networks applied to modeling non-neoclassical economic behaviour

Weighing trucks in motion using Gaussian-based neural networks

An application of a recurrent network to an intrusion detection system

Application of neural networks to acoustic screening of small electric motors

Stock price pattern matching system-dynamic programming neural networks approach

Graphical design and description of neural networks

Sensitivity analysis and applications to nuclear power plant

Modeling human perceptual decision-making using an artificial neural network

A neural network architecture for load forecasting

Design of an assembly planning system using unsupervised learning algorithm

Mean field annealing with continuous variables and its application to the quantification analysis problem

Satellite-derived estimation of rainfall in forward-backward thunderstorm propagation model using neural network expert system techniques

Neural networks for the diagnosis of coronary artery disease

Systems engineering applications of fuzzy neural networks

Electromyogram decomposition via unsupervised dynamic multi-layer neural network

Cascade network architectures

Growing layers of perceptrons: introducing the Extentron algorithm

Fault tolerance of feedforward neural nets for classification tasks

Approximation of multivariate functions using ridge polynomial networks

The ternary Adaline

Universal property of learning curves under entropy loss

The projection neural network

Content addressable networks for initialization of backpropagation with zero error solutions

Robustness of feedforward neural networks

Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension

The TARGET architecture: a feature-oriented approach to connectionist word spotting

GDNN: a gender-dependent neural network for continuous speech recognition

Speech recognition using dynamic time warping with neural network trained templates

Experiments in language identification with neural networks

Continuous speech recognition using segmental neural nets

Word recognition with recurrent network automata

Improving statistical speech recognition

Neural network word/false-alarm discriminators for improved keyword spotting

A convergent neural network learning algorithm

Dynamic learning using exponential energy functions

Lateral inhibition neural networks for classification of simulated radar imagery

Model reference adaptive control with recurrent networks trained by the dynamic DEKF algorithm

Dynamic neural units in the control of linear and nonlinear systems

Neural network model reference control of nonlinear systems

Using the Kohonen topology preserving mapping network for learning the minimal environment representation

Skill based control by using fuzzy neural network for hierarchical intelligent control

Controlling chaos with a neural network

The design of a neural data-oriented parsing (DOP) system

A neural network model of frontal cortical circuits for learning conditional sequences

Working memories for storage and recall of arbitrary temporal sequences

Humor and arousal

Biological learning with cytoskeletal signaling

Frontal lesion effects on verbal fluency in a network model

Design of RM-nc: a reconfigurable neurocomputer for massively parallel-pipelined computations

Circuits for multi-level neuron nonlinearities

Spatial-temporal properties of artificial dendritic trees

A software reconfigurable multi-networks simulator using a custom associative chip

A single 1.5-V digital chip for a 10/sup 6/-synapse neural network

Digital VLSI multiprocessor design for neurocomputers

Neural network lipreading system for improved speech recognition

Speech recognition in noise using a self-structuring noise reduction model and hidden control models

A neural network for solving optimization problems with linear equality constraints

Approximation theory and recurrent networks

Process variation analysis employing artificial neural networks

Maximizing the stability of a majority perceptron using Tabu search

Efficiently approximating max-clique in a Hopfield-style network

Autorouting using a parallel Dijkstra algorithm with embedded constraints

Neural networks for generation scheduling in power systems

Distributed implementation of optimization problems on bipartite network topology-fault tolerant computation and reduction of local minima problem

Genetically generated neural networks. II. Searching for an optimal representation

A faster elastic-net algorithm for the traveling salesman problem

A pseudo-relaxation learning algorithm for bidirectional associative memory

On the crosstalks in sparsely encoded associative memories

On the capacity of the Hopfield associative memory

Efficient algorithm for the design of multilayer feedforward neural networks

Analysis of the noise performance of associative memories

High-capacity discrete exponential BAM

Improved multidirectional associative memories for training sets including common terms

A new model of neural associative memories

A fault-tolerant Hopfield network for storing correlated patterns

Artificial cross talk reduction of associative memory

Rapid learning with large weight changes and plasticity

Wavelets as basis functions for localized learning in a multi-resolution hierarchy

Stationary points and performance surfaces of a perceptron learning algorithm for a nonseparable data model

Volume 1 - 1992

[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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