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Applications of Neural Networks / Edition 1

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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
  • Edition number: 1
  • Pages: 322
  • Product dimensions: 6.54 (w) x 9.58 (h) x 0.98 (d)

Table of Contents

Preface
1 Neural Architectures and Algorithms 1
2 Face Finding in Images 35
3 Sex Recognition from Faces Using Neural Networks 71
4 ANN Based Classification of Arrhythmias 93
5 Classification of Cells in Cervical Smears 113
6 Multiphase flow monitoring in oil pipelines 133
7 Electrical Load Forecasting 157
8 On the Application of Artificial Neural Networks to Process Control 191
9 Nested Networks for Robot Control 221
10 Adaptive Equalisation using Neural Networks 241
11 TD-Gammon: A Self-Teaching Backgammon Program 267
12 Temporal Difference Learning: A Chemical Process Control Application 287
13 Automated Sleep EEG Analysis using an RBF Network 305
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