C++ Neural Networks and Fuzzy Logic: Preface

C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.

ISBN: 1558515526   Pub Date: 06/01/95

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Summary

You explored further the backpropagation algorithm in this chapter, continuing the discussion in Chapter 7.

•  A momentum term was added to the training law and was shown to result in much faster

convergence in some cases.

•  A noise term was added to inputs to allow training to take place with random noise applied. This

noise was made to decrease with the number of cycles, so that final stage learning could be done in a

noise−free environment.

•  The final version of the backpropagation simulator was constructed and used on the example from

Chapter 12. Further application of the simulator will be made in Chapter 14.

•  Several applications with the backpropagation algorithm were outlined, showing the wide

applicability of this algorithm.

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C++ Neural Networks and Fuzzy Logic:Preface

Summary

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