## Neural Networks for Signal Processing: Proceedings of the ... IEEE Workshop : ... in a Series of WorkshopsInstitute of Electrical and Electronics Engineers, 1996 - Neural networks (Computer science) |

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### Contents

Adaptive Orthogonal Least Squares Learning Algorithm for | 3 |

PATTERN RECOGNITION | 13 |

Supervised Learning MultiLayered Neural Network with | 21 |

Copyright | |

53 other sections not shown

### Common terms and phrases

activation function adaptation applied approach approximation architecture ASQA backpropagation CDTNN character classification coefficients convergence corresponding cost function crossover defined denotes density dimension discrimination distribution DTDSS dynamics equation estimation evaluated feature extraction Figure frequency Gaussian genetic algorithm given gradient descent hidden units IEEE IEEE Trans iteration layer learning linear Logistic map Lyapunov exponent Markov matrix maximum method minimizing minimum mutation Neural Computation neural network neurons node noise nonlinear number of hidden objective function obtained optimization output parameters pattern recognition penumbral imaging performance pixel prediction problem Proc Projection Pursuit proposed pruning radial basis function RBF networks reconstruction recurrent neural networks recursive regularization representation samples scale scheme segmentation selected shown sigmoidal sigmoidal functions Signal Processing simulation speech recognition square error statistical STDSS structure subband technique training set validation set variables VBAR Vector Quantization wavelet weight decay