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Principles of artificial neural networks. 2nd ed. (English) Zbl 1139.68399
Advanced Series on Circuits and Systems 6. Hackensack, NJ: World Scientific (ISBN 978-981-270-624-9/hbk; 978-981-277-057-8/ebook). xv, 303 p. (2007).
Publisher’s 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.

MSC:
68T05 Learning and adaptive systems in artificial intelligence
68-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science
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