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Neural Network Design
 
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Neural Network Design (Hardcover)

by Howard B. Demuth (Author), Mark H. Beale (Author), Martin T. Hagan (Author)
4.5 out of 5 stars  See all reviews (2 customer reviews)

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Product details

  • Hardcover: 736 pages
  • Publisher: PWS; Har/Dis edition (29 Dec 1995)
  • Language English
  • ISBN-10: 0534943322
  • ISBN-13: 978-0534943325
  • Product Dimensions: 23.6 x 20.8 x 3.6 cm
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 1,084,481 in Books (See Bestsellers in Books)

    Popular in this category:

    #73 in  Books > Computing & Internet > Networking & Security > Network Topics > Designing Networks

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  • See Complete Table of Contents

Product Description

Product Description

This guide to neural networks includes worked problems in each chapter, and supporting software demonstrations. The authors of this work also developed the neural networks toolbox (for MathWorks) and the fuzzy systems toolbox (for PWS).

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Customer Reviews

2 Reviews
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Average Customer Review
4.5 out of 5 stars (2 customer reviews)
 
 
 
 
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3 of 3 people found the following review helpful:
4.0 out of 5 stars A great Addition to any Matlab users book shelf, 11 Feb 1999
By A Customer
This book is based around the NN toolbox in Matlab, but contains more information about the algorithms used than in the program books. It explains the algorithms in simple manor which could easily be understood by any one with a basic grasp of algebra and then implimented with suitable program skills. Most areas of neural networks and there use are covered My only complaint personnelly is that there is nothing on the application of NN to control problems. However all other areas of NN are covered and their suitability for various tasks explained. If you are just starting out in NN this is a great book to have.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Beginners Bliss, 24 Jun 2004
This review is from: Neural Network Design (Paperback)
I personally found Neural Networks a bit of a handful and had previously tried upto 10 (and 'zillions' of other publications) other books on this subject and only just about understood the principles involved. This book is very unassuming when it comes to implementing and explaining in detail neural networks. It even explains the mathematics involved, sometimes using graphical simulations. My hat goes off to the 3 individuals who wrote it. If you are new to Neural Networks, then I believe that you really should get this book and no other.
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