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Title: Neural Network Design by Martin T. Hagan, Howard B. Demuth, Mark H. Beale ISBN: 0-9717321-0-8 Publisher: Martin Hagan Pub. Date: January, 2002 Format: Paperback List Price(USD): $80.00 |
Average Customer Rating: 4.86 (7 reviews)
Rating: 5
Summary: Hands down the best introduction
Comment: I knew the very poor Matlab Neural Network Toolbox User's Guide by the same authors and I was kind of expecting the same, and boy was I wrong!
This book is simply brilliant, a miracle of pedagogy. It is intended for undergrad classes, but it is so clear that graduate students will benefit enormously from reading it before any other material. Plainly put, this book makes you UNDERSTAND this difficult topic, more than any other book that I know of (Zurada, Smith, Hassoun, Haykin, Duda-Hart, Caudill, etc)
A selection of worked out problems are included at the end of each chapter, a practice that is highly beneficial but alas too rare in books of the kind.
I very much appreciated the very clear exposition of backpropagation, and optimization methods such as Levenberg-Marquardt.
A note to Matlab users: funky demos are available for free and illustrate the main points of the book.
Rating: 5
Summary: Beale is brilliant!!!
Comment: I have been studying neural network design for almost 30 years now and I have never found a more enchanting text book than this one. From day one I could not put it down. In fact, I bought a copy for each member of my extended family. Beale is brilliant in the way he demostrates the design and capability of neural network systems. No one has ever captured the public's imagination and heart the way he does in this compelling work. He has taken the study of neural networks to the next level. Hence, the world will be a better place. H2BurBabes4Ever.
Rating: 5
Summary: Good book. Period.
Comment: I purchased this book while looking for an appropriate textbook for use in my class on neural networks. This book is excellent for both beginners and experts. It is a rare book in that it demonstrates complex mathematical manipulations and principles (that are difficult to grasp and visualize - and explain) using examples. The review on mathematical principles is very useful. The book makes it easier to teach the subject now. Given the way everything is presented, this book will also help those that want to code their own networks. I recommend this book to everyone.
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Title: Neural Networks for Pattern Recognition by Christopher M. Bishop, Chris Bishop ISBN: 0198538642 Publisher: Oxford University Press Pub. Date: January, 1996 List Price(USD): $65.00 |
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Title: Practical Neural Network Recipies in C++ by Masters ISBN: 0124790402 Publisher: Morgan Kaufmann Pub. Date: 31 March, 1993 List Price(USD): $69.95 |
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Title: Introduction to Discrete Event Systems by Christos G. Cassandras, Stephane Lafortune, Stephane Safortune ISBN: 0792386094 Publisher: Kluwer Academic Publishers Pub. Date: October, 1999 List Price(USD): $181.50 |
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Title: Neural Computing: Theory and Practice by Philip D. Wasserman ISBN: 0442207433 Publisher: Coriolis Group (Sd) Pub. Date: June, 1989 List Price(USD): $44.95 |
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Title: Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks by Russell D. Reed, Robert J. Marks II ISBN: 0262181908 Publisher: MIT Press Pub. Date: 26 March, 1999 List Price(USD): $60.00 |
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