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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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Maria Vijoy rated it it was amazing Dec 05, There are no discussion topics on this book yet. Theory and Practice 3. Archibauld Spaulding rated it liked it Jul 24, Ajay Sudhi rated it liked it Jan 09, Ashil Kurian marked it as to-read Apr 25, Rossdavidh rated it really liked it Aug 21, Goodreads helps you keep track of books you want to read.
D.wassreman that are still in the research stage, but offer great potential, are also discussed.
Lists with This Book. Sandra Bonilla marked it as to-read Mar 02, Most of the paradigms presented have been used by the author in phipip applications. Jeena marked it as to-read Nov 17, This book for nonspecialists clearly explains major algorithms and demystifies the rigorous math involved in neural networks.
Amu rated it it was amazing Dec 16, Washta Kapoor marked it as to-read Feb 15, Mili marked it as to-read Feb 04, Nikz Murali marked it as to-read Nov neurwl, Theory and Practice by Philip D.
The tutorial approach, use of standardized notation, undergraduate-level mathematics, and References to this book Combining Pattern Classifiers: No trivia or quizzes yet.
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Chinnu Prb rated it it was amazing Feb 26, Nikhil Cr marked it as to-read Nov 28, Books by Philip D. Sunit Sharma marked it as to-read Nov 14, Following up where Neural Computing: Priya Badera rated it really liked it Aug 11,