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Proceedings of International Conference on Neural Networks (ICNN'97)

Volume 4 - 1997

A hierarchical Bayes approach to nonlinear time series prediction with neural nets

Sequential network construction for time series prediction

Markov gated experts for time series analysis: beyond regression

Improving the accuracy of financial time series prediction using ensemble networks and high order statistics

Neural networks based traffic prediction for cell discarding policy

A neural network solver for basis pursuit and its applications to time-frequency analysis of biomedical signals

Broadband noise cancellation using a functional link ANN based nonlinear filter

Estimation of unmeasured inputs using recurrent neural networks and the extended Kalman filter

Adaptive target detection in UWB images using Laguerre network

Multiple target tracking using recurrent neural networks

Performance of two neural receiver structures in the presence of co-channel interference

Speaker verification and identification using gamma neural networks

Context modeling in a hybrid HMM-neural net speech recognition system

Parallel neural networks for speech recognition

Text-independent speaker identification using a hybrid neural network and conformity approach

Speaker identification based on a modified Kohonen network

Continuous speech recognition with neural networks and stationary-transitional acoustic units

An efficient stock market forecasting model using neural networks

Prediction of system marginal price in the UK Power Pool using neural networks

Application of artificial neural networks in sales forecasting

Sales forecasting using neural networks

Blind source separation of real world signals

Dual cascade networks for blind signal extraction

Information backpropagation for blind separation of sources in nonlinear mixture

Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach

Single-sensor active noise cancellation using recurrent neural network predictors

Elimination of multiple reflections in marine seismograms using neural networks

Adaptive fuzzy filtering for audio applications using a neuro-fuzzy modelization

A novel algorithm for wideband DOA estimates based on neural network

Neural speech enhancement using dual extended Kalman filtering

Combining fossil and sunspot data: committee predictions

Overcoming recurrent neural networks' compactness limitation for neurofiltering

RBF neural network, basis functions and genetic algorithm

Improved option pricing using bootstrap methods

A learning algorithm for improved recurrent neural networks

Prediction of onset of respiratory disorder in neonates

Neural prediction of missile dynamics during hardware-in-the-loop captive-carry experiments

Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts

A perceptron-like online algorithm for tracking the median

Signal representation using adaptive Wave-Net

Financial prediction using higher order trigonometric polynomial neural network group model

Minor component analysis with implementation to blind 2-channel equalization

Separation of two independent sources by the information-theoretic approach with cubic nonlinearity

Robust adaptive neurofilters with or without online weight adjustment

Prediction of chaos and bifurcation: an asymmetric basis function approach

Neural networks for periodicity analysis of unevenly spaced data

Primitive adaptive critics

Unified formulation for training recurrent networks with derivative adaptive critics

Asymptotic dynamic programming: preliminary concepts and results

The need for improved reinforcement learning techniques in intelligent agents

Immunized adaptive critics

Adaptive critic based neurocontroller for autolanding of aircraft with varying glideslopes

Top-down and bottom-up image processing

Introducing visual latencies into spin-lattice models for image segmentation: a neuromorphic approach to a computer vision problem

Artificial retina chips

Physiological engineering model of the outer retina

Dialog concepts for learning retina encoders

The physiological connection: stimulating the human and amphibian retina

The cellular neural network as a retinal camera for visual prosthesis

Color and intensity information representations by a network of turtle retinal ganglion cells

A fuzzy neural hybrid system modeling

Fuzzy inference networks: an introduction

Neural nets can be universal approximators for fuzzy functions

Speaker recognition with a self-configuring neural network

Neural net approximations to solutions of systems of fuzzy linear equations

On tool wear estimation through neural networks

A study in experimental evaluation of neural network and genetic algorithm techniques for knowledge acquisition in fuzzy classification systems

Acquisition of fuzzy rules using fuzzy neural networks with forgetting

Knowledge extraction from hierarchical fuzzy model obtained by fuzzy neural networks and genetic algorithm

Fuzzy rules extraction, reasoning and rules adaptation in fuzzy neural networks

Extraction of crisp logical rules using constructive constrained backpropagation networks

Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection

Robust NL/sub q/ neural control theory

Feedback-error-learning control with considering smoothness of unknown nonlinearities

Fuzzy logic controllers generated by pseudo-bacterial genetic algorithm with adaptive operator

A sliding mode controller with neural network and fuzzy logic

Neuro-approach for intelligent systems development

Adaptive control and stability analysis of nonlinear systems using neural networks

Temperature control in a batch process by neural networks

An ANS based helicopter transmission diagnostic system

A neural architecture for fuzzy classification with application to complex system tracking

Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks

Intelligent hybrid multi-agent architecture for engineering complex systems

Neural network based segmentation using a priori image models

Feature selection and classifiers for the computerized detection of mass lesions in digital mammography

An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions

Neural network design for optimization of the partial area under the receiver operating characteristic curve

Self-organizing maps for analyzing mammographic findings

Neurometric assessment of adequacy of intraoperative anesthetic

A three dimensional neural architecture

"Visual ophthalmologist" an automated system for classification of retinal damage

Genetic function approximation in the molecular pharmacology of cancer

Evaluating artificial neural networks for medical applications

Neural network assisted drug detection in X-ray images

Detection and discrimination using x-radiation

Pulse coupled neural networks (PCNN) and wavelets: biosensor applications

Blind de-mixing with unknown sources

On the conscious and subconscious components of knowledge representation in neural networks

Some issues in system identification using clustering

The truth is in there: current issues in extracting rules from trained feedforward artificial neural networks

Asynchronous translations with recurrent neural nets

Possibilistic reasoning in a computational neural network

Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks

An overview on supervised neural networks for structures

BEXA: set covering vs. neural network knowledge acquisition-a comparative review

A fault tolerant Chinese bank check recognition system based on SOM neural networks

Synaptic delay based artificial neural networks and discrete time backpropagation applied to QRS complex detection

Volume 3 - 1997

Volume 2 - 1997

Volume 1 - 1997

Proceedings of ICNN'95 - International Conference on Neural Networks

IEEE International Conference on Neural Networks

IEEE 1988 International Conference on Neural Networks

Proceedings of International Conference on Neural Networks (ICNN'96)

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