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Neural Networks for Statistical Modeling / Edition 1

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Editorial Reviews

Booknews
Focusing completely on back propagation--a systematic method for training multilayer artificial neural networks--this volume provides a detailed and comprehensive guide to the development and use of neural networks for statistical modeling. Extensive examples from real business problems put the guide's techniques into a practical context. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9781850328421
  • Publisher: Cengage Learning
  • Publication date: 11/28/1993
  • Edition number: 1
  • Pages: 240
  • Product dimensions: 5.99 (w) x 8.91 (h) x 0.68 (d)

Table of Contents

Preface
Acknowledgements
Introduction 1
1 Mapping Functions 31
2 Basic Concepts 59
3 Error Derivatives 65
4 Learning Laws 77
5 Weight Initialization 95
6 The Course of Learning: An Example 99
7 Overfitting 111
8 Cross Validation 117
9 Preparing the Data 133
10 Representing Variables 151
11 Using the Model 169
Appendix 1: Alternative Techniques 181
Appendix 2: Error Derivatives 209
Appendix 3: Computer Program 213
Appendix 4: Answers to Exercises 221
Appendix 5: Summary of Symbols 227
Index 231
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