Object-Oriented Neural Networks in C++

Object-Oriented Neural Networks in C++

2.63 (11 ratings by Goodreads)
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"This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Roger's writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."--D.L. Chester, Newark, Delaware in COMPUTING REVIEWSObject-Oriented Neural Networks in C++ is a valuable tool for anyone who wants to understand, implement, or utilize neural networks. This book/disk package provides the reader with a foundation from which any neural network architecture can beconstructed. The author has employed object-oriented design and object-oriented programming concepts to develop a set of foundation neural network classes, and shows how these classes can be used to implement a variety of neural network architectures with a great deal of ease and flexibility. A wealth of neural network formulas (with standardized notation), object code implementations, and examples are provided to demonstrate the object-oriented approach to neural network architectures and to facilitatethe development of new neural network architectures. This is the first book to take full advantage of the reusable nature of neural network classes.
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Product details

  • Paperback | 310 pages
  • 190.5 x 226.06 x 15.24mm | 566.99g
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • 3rd ed.
  • b&w illustrations, index
  • 0125931158
  • 9780125931151

Review quote

"This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Rogers writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."
--D.L. Chester, Newark, Delaware in COMPUTING REVIEWS
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Table of contents

Introduction. Object-Oriented Programming Review. Neural-Network Base Classes. ADALINE Network. Backpropagation Neural Network. Self-Organizing Neural Network. Bidirectional Associative Memory. Appendixes. Subject Index.
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About Joey Rogers

By Richard G. Rogers
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Review Text

"This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Rogers writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."
--D.L. Chester, Newark, Delaware in COMPUTING REVIEWS
show more

Rating details

11 ratings
2.63 out of 5 stars
5 18% (2)
4 9% (1)
3 9% (1)
2 45% (5)
1 18% (2)
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