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Pattern Classification

Neuro-fuzzy Methods and Their Comparison

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Pages
352pages
Temps de lecture
13heures

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The book addresses the challenges of analyzing trained neural networks and extracting fuzzy rules. It introduces innovative learning paradigms and architectures that enhance the capabilities of both neural networks and fuzzy systems, making it easier to analyze and interpret their outputs. By bridging the gap between these two approaches, the author provides solutions that improve understanding and application in complex systems.

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Pattern Classification, Shigeo Abe

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Année de publication
2012
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