- Paperback: 461 pages
- Publisher: Pearson; 1 edition (December 19, 1993)
- Language: English
- ISBN-10: 0133341860
- ISBN-13: 978-0133341867
- Product Dimensions: 6.9 x 1.1 x 8.9 inches
- Shipping Weight: 1.7 pounds (View shipping rates and policies)
- Average Customer Review: 19 customer reviews
- Amazon Best Sellers Rank: #436,290 in Books (See Top 100 in Books)
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Fundamentals of Neural Networks: Architectures, Algorithms And Applications 1st Edition
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From the Publisher
An exceptionally clear, thorough introduction to neural networks written at an elementary level. Written with the beginning student in mind, the text features systematic discussions of all major neural networks and fortifies the reader's understudy with many examples.
From the Back Cover
Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.
Top customer reviews
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I remember that our professor did ask the class to do one of the proposed projects in the pattern association chapter which consisted of implementing a small OCR with a neural network and this exercise did really help to better assimilate the principles. Finally, the following chapters present other types of neural networks such as those based on competition and the very important backpropagation neural network.
The only thing that you can complain about is its high price tag. For anyone interested in the AI field, it is recommended.
The book was clear and useful in presenting the topics, and more importantly, in presenting the algorithms in a clearn simple format which made it very easy to produce a computer program implementing these algorithms just by reading the book.
It was also useful by listing various things which have been done in literature to alter the algorithms for various purposes.
I suppose that people in the field of Neural Computation might find this book useful as an introduction book and also as a reference book (at least for its clear explenations and algorithms listings), but otherwise need more comprehensive books which cover a lot more math than this books does.
Actually, this is a good book for getting to know this dicipline for people who don't like to mess too much with calculus. Other books in this fiels contain more, a lot more, calculus in them, so I would also argue that this book is useful for people who want to understand the ideas, have a clear algorithm so its easy to implement, and at the same time, not worry about the math too much.
You don't see proofs here, at least not as much as I expected to, but I suppose that this follows the idea that this book is useful as a complementary book, rather than the authoritative book in the subject.
I only regret the high price of the book.
Most recent customer reviews
However, it's really just an introduction.Read more