Applications of Neural Networks / Edition 1

Applications of Neural Networks / Edition 1

by Alan Murray
     
 

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book

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Overview

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using 'Supervised Training'. Section C presents a number of examples of 'Unsupervised Training'.
For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories — described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

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Product Details

ISBN-13:
9780792394426
Publisher:
Springer US
Publication date:
12/31/1994
Edition description:
1995
Pages:
322
Product dimensions:
6.54(w) x 9.58(h) x 0.98(d)

Related Subjects

Table of Contents

Preface
1Neural Architectures and Algorithms1
2Face Finding in Images35
3Sex Recognition from Faces Using Neural Networks71
4ANN Based Classification of Arrhythmias93
5Classification of Cells in Cervical Smears113
6Multiphase flow monitoring in oil pipelines133
7Electrical Load Forecasting157
8On the Application of Artificial Neural Networks to Process Control191
9Nested Networks for Robot Control221
10Adaptive Equalisation using Neural Networks241
11TD-Gammon: A Self-Teaching Backgammon Program267
12Temporal Difference Learning: A Chemical Process Control Application287
13Automated Sleep EEG Analysis using an RBF Network305

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