"Commissioned for [Neural Computing Applications Forum] members"--Page ix.
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On t.p.: Neural Computing Applications Forum.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references and index.
CONTENTS NOTE
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Front Cover; A Guide to Neural Computing Applications; Copyright Page; Contents; Foreword; Chapter 1. Introduction; Chapter 2. Mathematical background for neural computing; Chapter 3. Managing a neural computing project; Chapter 4. Identifying applications and assessing their feasibility; Chapter 5. Neural computing hardware and software; Chapter 6. Collecting and preparing data; Chapter 7. Design, training and testing of the prototype; Chapter 8. The case studies; Chapter 9. More advanced topics; Appendix A: The error back-propagation algorithm for weight updates in an MLP.
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SUMMARY OR ABSTRACT
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Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more.
SYSTEM REQUIREMENTS NOTE (ELECTRONIC RESOURCES)
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Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.