• Title/Summary/Keyword: steapest descent algorithm

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Automatic learning of fuzzy rules for the equivalent 2 layered hierarchical fuzzy system (동등 변환 2계층 퍼지 시스템의 규칙 자동 학습)

  • Joo, Moon-G.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.5
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    • pp.598-603
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    • 2007
  • To solve the rule explosion problem in multi-input fuzzy system, a method of converting a given fuzzy system to 2 layered hierarchical fuzzy system has been reported, where at the 1st layer, linearly independent fuzzy rule vectors generated from the given fuzzy system are used and, at the 2nd layer, linear combinations of these independent fuzzy rule vectors are used. In this paper, the steapest descent algorithm is presented to learn the fuzzy rule vectors and related coefficients for the equivalent 2 layered hierarchical structure. By simulation of learning of ball and beam control system, the feasibility of proposed learning scheme is shown.