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Neural Network Models: Theory and Projects, 2nd Edition
 
 
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Neural Network Models: Theory and Projects, 2nd Edition [Paperback]

Philippe de Wilde (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)

Price: $74.95 & this item ships for FREE with Super Saver Shipping. Details
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Book Description

July 11, 1997
Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.


Product Details

  • Paperback: 174 pages
  • Publisher: Springer; 2nd edition (July 11, 1997)
  • Language: English
  • ISBN-10: 3540761292
  • ISBN-13: 978-3540761297
  • Product Dimensions: 9.3 x 6.2 x 0.5 inches
  • Shipping Weight: 10.6 ounces (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #3,072,999 in Books (See Top 100 in Books)

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5 of 5 people found the following review helpful:
5.0 out of 5 stars A clear and concise introduction to neural network dynamics, December 19, 2000
By A Customer
This review is from: Neural Network Models: Theory and Projects, 2nd Edition (Paperback)
This book is an excellent introduction to neural networks for the reader with a good mathematics background. The first few chapters describe popular and useful algorithms for implementing neural networks (Hopfield, backpropagation). Much of the book is devoted to the theory behind these networks (capacity, convergence and the dynamical systems approach, Markov chains). [This gave me, a total novice before reading the book, a much better idea of how these networks function, so much so that I can implement them in software.] Complementing the theory are numerous stimulating projects that illustrate many applications and open questions in the field.

De Wilde's book is very clearly written. Its compact size is a joy in this age of mammoth, but often poorly-written and substanceless, textbooks.

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5.0 out of 5 stars Essential Parameters for Designing Software and Hardware, August 26, 2011
This review is from: Neural Network Models: Theory and Projects, 2nd Edition (Paperback)
Neural Network Models: Theory and Projects concentrates on the essential parameters and results that will enable the reader to design hardware or software implementations of neural networks and to assess critically existing commercial products.
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Inside This Book (learn more)
First Sentence:
Neural networks are about associative memory or content-addressable memory. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
fundamental memories, fundamental memory, sgn function, function sgn, hidden neurons
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Philippe De Wilde, Information Theory, Physical Review, International Conference, Springer Verlag, Parallel Distributed Processing, Journal of Physics
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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