Title, Neural Computing: Theory and Practice. Author, Philip D. Wasserman. Publisher, Van Nostrand Reinhold. ISBN, X, Following up where Neural Computing: Theory and Practice left off, this guide explains diverse high-performance paradigms for artificial neural networks ( ANNs). 21 May Neural computing. by Philip D. Wasserman. Publication date Topics Neural computers. Publisher Van Nostrand Reinhold. Collection.
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This book for nonspecialists clearly explains major algorithms and demystifies the rigorous math involved in neural networks.
Sadfasda rated it really liked it Dec 22, Arun Antony added it Mar 03, Rossdavidh rated it really liked it Aug 21, Jeena marked it as to-read Nov 17, Paradigms that are still in the research stage, but offer great potential, are also discussed. Archibauld Spaulding rated it liked it Jul 24, Want to Read Currently Reading Read.
Neural Computing: Theory and Practice by Philip D. Wasserman
Uses a step-by-step approach for implementing commonly used paradigms. My library Help Advanced Book Search. The tutorial approach, use of standardized notation, undergraduate-level mathematics, and Sal Excel rated it did not like it Neural computing theory and practice by philip d.wasserman 05, Ashil Kurian marked it as to-read Apr 25, Methods and Algorithms Ludmila I. Alexandr marked it as to-read Dec 18, Priya Badera rated it really liked it Aug 11, Trivia About Neural Computing To ask other readers questions about Neural Computingplease sign up.
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Hardcoverpages. Sergey rated it it was amazing Nov 15, Washta Kapoor marked it as to-read Feb 15, Theory and Practice by Philip D. Want to Read saving….
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Advanced Methods in Neural Computing meets the reference needs of electronics engineers, control systems engineers, programmers, and others in scientific disciplines. Psd added it Apr 20, Karthikeyan Karthikeyan rated it really liked it Nov 10, Following up where Neural Computing: Lists with This Book.
Explanations of the paradigms are program-oriented and are written in algorithmic form.
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