<p>A sequel to Wasserman's Neural Computing: Theory and Practice (1989), explaining diverse high-performance paradigms for artificial neural networks for real-world situations. A tutorial approach using standard notation, undergraduate-level mathematics, and many examples. Annotation copyright Book News, Inc. Portland, Or.</p>

Advanced Methods in Neural Computing (Vnr Computer Library)

Science & Math

Wasserman, Philip D.

Mathematics

Van Nostrand-Reinhold

<p>This book for nonspecialists clearly explains major algorithms and demystifies the rigorous math involved in neural networks. Uses a step-by-step approach for implementing commonly used paradigms.</p>

Neural Computing: Theory and Practice

Computers & Technology

Computer Science

Coriolis Group

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Books by Wasserman, Philip D.