NDLI: Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop

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Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop

Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop

Adaptive orthogonal least squares learning algorithm for the radial basis function network

Supervised learning for multilayered neural network with non-monotonic activation functions

Neural network approaches for the extraction of the eigenstructure

Nonparametric density estimation and regression achieved with a learning rule for equiprobabilistic topographic map formation

Resisting the influence of outliers in radial basis function neural networks

On the use of a pruning prior for neural networks

Design and regularization of neural networks: the optimal use of a validation set

On the least square error and prediction square error of function representation with discrete variable basis

System identification using neural networks

Periodic multiresolution analysis using quasi-orthogonals splines

Reconstruction of neutron penumbral images by a genetic algorithm with Laplacian constraint

A parallel genetic algorithm based on the island model for image restoration

Dynamic trading decision support system using rule selector based on genetic algorithms

An analysis on genetic algorithms using Markov process with rewards

Genetic programming techniques that evolve recurrent neural network architectures for signal processing

Measuring predictability using multiscale embedding

Geometrical techniques for finding the embedding dimension of time series

Learning out of time series with an extended recurrent neural network

Kalman filter based estimation of dynamic modular networks

Scaling properties of neural networks for the prediction of time series

Lyapunov exponents and mutual information of chaotic neural networks

A perspective on functional-link computing, dimension reduction and signal/image understanding

Design and evaluation of neural classifiers

Using upper bounds on attainable discrimination to select discrete valued features

An incremental learning method with relearning of recalled interfered patterns

Adaptive online learning of optimal decision boundary using active sampling

Design method for a pattern classifier suited to adaptation

Discriminative feature extraction application to filter bank design

Toward a unified design of pattern recognizers

An RNN-based noise estimation and likelihood compensation for noisy speech recognition

Speech enhancement based on extended Kalman filter and neural predictive hidden Markov model

A neural network trained microphone array system for noise reduction

Recognition of handwritten similar Chinese characters by neural networks

Structured neural networks for multi-font Chinese character recognition using a newly developed digital neural network chip with adaptive segmentation of quantizer neuron architecture (ASQA)

An Arabic character recognition system using neural network

Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery

3-D heart contour delineation and motion tracking of ultrasound images using continuous distance transform neural networks

A multi-module minimization neural network for motion-based scene segmentation

Unsupervised segmentation of multispectral images using hierarchical MRF model

Interpolation approaches to vector quantization for image compression

A method for estimating coding gain of subband filter considering higher order statistic

Temporal decorrelation using teacher forcing anti-Hebbian learning and its application in adaptive blind source separation

Blind separation of convolved sources based on information maximization

A stochastic natural gradient descent algorithm for blind signal separation

An extension of the Herault-Jutten network to signals including delays for blind separation

Classification of seismic waveforms by integrating ensembles of neural networks

Earthquake early warning system using real-time signal processing

Snowfall and rainfall forecasting from the images of weather radar with artificial neural networks

Human point-of-regard tracking using state space and modular neural network models

An adaptive Kalman filter model for stable perception of visual space unaffected by eye movement

Defect diagnosis of solder joints using fuzzy logic

The fuzzy leaky bucket for policing mechanism in ATM networks

A neural network controlled ATM switch

Neural networks and wavelet analysis in the computer interpretation of pulse oximetry data

Sparse distributed memory implementations on tree shape parallel neurocomputer

A bit-serial VLSI processor for kernel-based classifiers

A digital neuro chip with adaptive segmentation quantizer neuron architecture (ASQA)

Parallel answer-in-weights neural network implementation for image preprocessing

Speeding up neural network execution: an application to speech recognition

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