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.

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