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Simulating Neural Networks with Mathematica

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Click here to buy Simulating Neural Networks with Mathematica by  James A. Freeman. Simulating Neural Networks with Mathematica
by James A. Freeman
Sales Rank: 898006
4.5 out of 5 stars
$38.24
At Amazon
on 9-10-2008.
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Features
  • Cover Type: Hard Cover with 352 pages
  • Published by: Addison-Wesley Professional
  • Edition: 7th Edition April 10, 1993
  • Written in: English
  • ISBN 10 Number: 020156629X
  • ISBN 13 Number: 978-0201566291
  • Book Dimensions: 9 x 6.3 x 0.9 inches
  • Weighs: 1 pounds

Book Info
Introduces neural networks, their operation and their application, in the context of Mathematica, a mathematical programming language. DLC: Neural networks (Computer science)

Back Cover Copy


020156629XB04062001

Reader Reviews
Overall, I am quite happy with the book. It does exactly as it describes...shows the reader how to use mathematica to simulate several types of Neural Networks. The code is clear, fairly short and the example networks fun to work though. The flexibilty of Mathematica made it a simple task to view what the networks were doing and thus made the networks easier to understand. My only complaint is that the book is too short. Part of this complaint is that I really enjoyed playing with the example nets and hated to see it end. However, only about 8 networks are mentioned and each is covered in 20-30 pages...program code included. I wish the author had time to double or triple the size of the book to cover the nets more thoroughly and to cover others. The book is also a bit shy on the mathematical treatment of the networks. It does have some math, but the derivations included are not that rigorous. I have supplemented this book with others to cover the theory. Nevertheless, If you're wanting to use Mathematica for Neural Networking and you're having difficulty getting started, this book is worth the price. Comment | | (Report this)


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Simulating Neural Networks with Mathematica
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Updated on 9-10-2008.
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