Artificial Neural Networks: An Introduction

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SPIE Press, 2005 - Technology & Engineering - 165 pages
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This tutorial text provides the reader with an understanding of artificial neural networks (ANNs) and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed and the data collection processes, to the many ways ANNs are being used today. The material is presented with a minimum of math (although the mathematical details are included in the appendices for interested readers), and with a maximum of hands-on experience. All specialized terms are included in a glossary. The result is a highly readable text that will teach the engineer the guiding principles necessary to use and apply artificial neural networks.
 

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nice book.

Contents

Learning Methods
13
Data Collection Preparation Labeling and Input Coding
21
Output Coding
31
Unsupervised Training Methods
49
Recurrent Neural Networks
61
A Plethora of Applications
71
Dealing with Limited Amounts of Data
101
Appendix A The Feedforward Neural Network
107
Appendix B Feature Saliency
125
Matlab Code for Various Neural Networks
131
Glossary of Terms
143
References
151
Index
163
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