Neural Networks for Pattern Recognition and Their Applications

By: C H Chen (Editor)

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Hardcover

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Hardcover
168 Pages

Dimensions(cm)
26.04 x 17.78 x 1.27

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The revitalization of neural network research in the past few years has had a great effect on research on pattern recognition and artificial intelligence. Progress in pattern recognition depends particularly heavily on neural networks. This volume brings together research papers on the subject.

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"The emphasis of this book is genuinely on practical techniques - a rarity in books on neural networks ... there is much here that will interest the neural computing specialist." Nick Beard Neural and Computing Applications, 1992

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Introduction
Combined Neural-Net/Knowlege-Based Adaptive Systems for Large Scale Dynamic Control	p. 1
A Connectionist Incremental Expert System Combining Production Systems and Associative Memory	p. 21
Optimal Hidden Units for Two-Layer Nonlinear Feedforward Neural Networks	p. 43
An Incremental Fine Adjustment Algorithm for the Design of Optimal Interpolating Networks	p. 61
On the Asymptotic Properties of Recurrent Neural Networks for Optimization	p. 79
A Real-Time Image Segmentation System Using a Connectionist Classifier Architecture	p. 101
Segmentation of Ultrasonic Images with Neural Networks	p. 117
Connectionist Model Binarization	p. 127
An Assessment of the Impact of Neural Network Technology on Automatic Active Sonar Classifier Development	p. 143
On the Relationships between Statistical Pattern Recognition and Artificial Neural Networks	p. 153
Table of Contents provided by Blackwell. All Rights Reserved.

Neural Networks for Pattern Recognition and Their Applications

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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