Principles of Artificial Neural Networks
| AUTHOR | Graupe, Daniel |
| PUBLISHER | World Scientific Publishing Company (04/01/2007) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.
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Product Format
Product Details
ISBN-13:
9789812706249
ISBN-10:
9812706240
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
Edition Number:
0002
More Product Details
Page Count:
320
Carton Quantity:
40
Product Dimensions:
6.60 x 0.90 x 9.80 inches
Weight:
1.50 pound(s)
Feature Codes:
Bibliography,
Index,
Table of Contents,
Illustrated
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Data Science - Neural Networks
Computers | Electrical
Computers | Electronics - General
Library of Congress Control Number:
2008270006
Descriptions, Reviews, Etc.
publisher marketing
The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.
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List Price $133.00
Your Price
$131.67