Guest Editors' Introduction: Neural Networks For Signal Processing
Neural-fuzzy classification for segmentation of remotely sensed images
Discriminative metric design for robust pattern recognition
Nonparametric regression analysis achieved with topographic maps developed in combination with projection pursuit learning: an application to density estimation and adaptive filtering of grey-scale images
Bidirectional recurrent neural networks
NL/sub q/ theory: checking and imposing stability of recurrent neural networks for nonlinear modeling
Blind source separation-semiparametric statistical approach
Coding and comparison of DAG's as a novel neural structure with applications to on-line handwriting recognition
Unsupervised statistical neural networks for model-based object recognition
A delay damage model selection algorithm for NARX neural networks
Fast adaptive digital equalization by recurrent neural networks
Birdsong recognition using backpropagation and multivariate statistics
Solving inverse problems by Bayesian neural network iterative inversion with ground truth incorporation
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
Self-evolving neural networks for rule-based data processing
Optimum nonlinear filtering
Self-organizing feature maps and hidden Markov models for machine-tool monitoring
/spl delta/-NARMA neural networks: a new approach to signal prediction
Mixture of experts regression modeling by deterministic annealing
Extracting useful higher order features for condition monitoring using artificial neural networks
Neural networks for blind decorrelation of signals
Statistical convergence analysis of Rosenblatt's perceptron algorithm as a DS-spread spectrum detector
Neural networks for signal detection in non-Gaussian noise
A decision feedback recurrent neural equalizer as an infinite impulse response filter
Multiresolution learning paradigm and signal prediction
High-performance low-complexity wordspotting using neural networks
Guest Editors' Introduction: Neural Networks For Signal Processing
Neural-fuzzy classification for segmentation of remotely sensed images
Discriminative metric design for robust pattern recognition
Nonparametric regression analysis achieved with topographic maps developed in combination with projection pursuit learning: an application to density estimation and adaptive filtering of grey-scale images
Bidirectional recurrent neural networks
NL/sub q/ theory: checking and imposing stability of recurrent neural networks for nonlinear modeling
Blind source separation-semiparametric statistical approach
Coding and comparison of DAG's as a novel neural structure with applications to on-line handwriting recognition
Unsupervised statistical neural networks for model-based object recognition
A delay damage model selection algorithm for NARX neural networks
Fast adaptive digital equalization by recurrent neural networks
Birdsong recognition using backpropagation and multivariate statistics
Solving inverse problems by Bayesian neural network iterative inversion with ground truth incorporation
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
Self-evolving neural networks for rule-based data processing
Optimum nonlinear filtering
Self-organizing feature maps and hidden Markov models for machine-tool monitoring
/spl delta/-NARMA neural networks: a new approach to signal prediction
Mixture of experts regression modeling by deterministic annealing
Extracting useful higher order features for condition monitoring using artificial neural networks
Neural networks for blind decorrelation of signals
Statistical convergence analysis of Rosenblatt's perceptron algorithm as a DS-spread spectrum detector
Neural networks for signal detection in non-Gaussian noise
A decision feedback recurrent neural equalizer as an infinite impulse response filter
Multiresolution learning paradigm and signal prediction
High-performance low-complexity wordspotting using neural networks
Guest Editors' Introduction: Neural Networks For Signal Processing
Neural-fuzzy classification for segmentation of remotely sensed images
Discriminative metric design for robust pattern recognition
Nonparametric regression analysis achieved with topographic maps developed in combination with projection pursuit learning: an application to density estimation and adaptive filtering of grey-scale images
Bidirectional recurrent neural networks
NL/sub q/ theory: checking and imposing stability of recurrent neural networks for nonlinear modeling
Blind source separation-semiparametric statistical approach
Coding and comparison of DAG's as a novel neural structure with applications to on-line handwriting recognition
Unsupervised statistical neural networks for model-based object recognition
A delay damage model selection algorithm for NARX neural networks
Fast adaptive digital equalization by recurrent neural networks
Birdsong recognition using backpropagation and multivariate statistics
Solving inverse problems by Bayesian neural network iterative inversion with ground truth incorporation
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
Self-evolving neural networks for rule-based data processing
Optimum nonlinear filtering
Self-organizing feature maps and hidden Markov models for machine-tool monitoring
/spl delta/-NARMA neural networks: a new approach to signal prediction
Mixture of experts regression modeling by deterministic annealing
Extracting useful higher order features for condition monitoring using artificial neural networks
Neural networks for blind decorrelation of signals
Statistical convergence analysis of Rosenblatt's perceptron algorithm as a DS-spread spectrum detector
Neural networks for signal detection in non-Gaussian noise
A decision feedback recurrent neural equalizer as an infinite impulse response filter
Multiresolution learning paradigm and signal prediction
High-performance low-complexity wordspotting using neural networks
