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Knowledge Extraction Using the FARB

  • Eyal Kolman
  • Michael Margaliot
Chapter
  • 515 Downloads
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 234)

Abstract

The FARB–ANN equivalence immediately yields a representation of the IO mapping of a given trained ANN in a symbolic form. The fuzzy rules and their parameters are determined by the network structure and parameters. This transforms the knowledge embedded in the network into a set of symbolic rules stated using natural language. If necessary, the FARB can be further simplified to increase its comprehensibility.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Eyal Kolman
    • Michael Margaliot

      There are no affiliations available

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