| Principles of Artificial Neural Networks Contributor(s): Graupe, Daniel (Author) |
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ISBN: 9812706240 ISBN-13: 9789812706249 Publisher: World Scientific Publishing Company OUR PRICE: $126.35 Product Type: Hardcover Published: April 2007 |
| Additional Information |
| BISAC Categories: - Computers | Neural Networks - Technology & Engineering | Electrical - Technology & Engineering | Electronics - General |
| LCCN: 2008270006 |
| Series: Advanced Series in Circuits and Systems |
| Physical Information: 0.9" H x 6.6" W x 9.8" (1.50 lbs) 320 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |