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Pattern Recognition Using Neural Networks: Theory and Algorithms for Engineers and Scientists
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Author: Carl G. Looney
List Price: $105.00
Our Price: Click to see the latest and low price
ISBN: 0195079205
Publisher: Oxford University Press (February, 1997)
Edition: Hardcover
Sales Rank: 584,996
Average Customer Rating: 3.5 out of 5
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Customer ReviewsRating: 5 out of 5
I wish I knew about this book earlier!
This is simply the best introduction in print to the most useful types of neural networks that engineers use. Engineering seniors and graduate students should benefit greatly. I was quite impressed at the full-propagation algorithm that is 40% faster than using epochs with backpropagation that tend to thrash (learn/unlearn as it trains). I found the book loaded with ideas and references and have put some of them to good use so far. This was the book I really needed but never knew about until my professor told me to read the section on radial basis function NNs. I put the pseudo-code directly into a C program and it worked beautifully on my data.
Rating: 4 out of 5
A very good reference book in Neural Networks
In this book, key concepts of neural networks, fuzzy logics are introduced through detailed algorithms and graphical illustrations. The book includes some topics not covered or not emphasized in other similar books. This book is written in a clear and expository style with extensive mathamatical derivations, which is well suited to the graduate level students and AI researchers.I definitely think this is a good book.
Rating: 4 out of 5
A good book for a researcher
This is not a book for a undergraduate student but a good book for a serious researcher. Some of the topics are discussed deeply and extensively, such as the relationship between pattern recognition and neural networks. It looks like that the drawback of this book is that some of the topics are not explained plainly and need to read other reference book to understand them.
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