C++ Neural Networks and Fuzzy Logic

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Автор: Valluru B. Rao, Hayagriva Rao

Название: C++ Neural Networks and Fuzzy Logic

Издательство: MTBooks, IDG Books Worldwide, Inc.

Год: 1995

Формат: PDF в RAR+5%

Размер: 1.33 МБ

ISBN: 978-1558515529

Язык: Английский

Качество: отличное

In this book, we aim to introduce the subject of neural networks as directly and simply as possible for an easy

understanding of the methodology. Most of the important neural network architectures are covered, and we

earnestly hope that our efforts have succeeded in presenting this subject matter in a clear and useful fashion.

The number of models available in neural network literature is quite large. Very often the treatment is

mathematical and complex. This book provides illustrative examples in C++ that the reader can use as a basis

for further experimentation. A key to learning about neural networks to appreciate their inner workings is to

experiment. Neural networks, in the end, are fun to learn about and discover. Although the language for

description used is C++, you will not find extensive class libraries in this book. With the exception of the

backpropagation simulator, you will find fairly simple example programs for many different neural network

architectures and paradigms. Since backpropagation is widely used and also easy to tame, a simulator is

provided with the capacity to handle large input data sets. You use the simulator in one of the chapters in this

book to solve a financial forecasting problem. You will find ample room to expand and experiment with the

code presented in this book.