Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Neuro-Fuzzy System and Its Application Using CART Algorithm and Hybrid Parameter Learning

CART 알고리즘과 하이브리드 학습을 통한 뉴로-퍼지 시스템과 응용

  • Oh, B.K. (Dept. of Electrical Engineering, Chungbuk National University) ;
  • Kwak, K.C. (Dept. of Electrical Engineering, Chungbuk National University) ;
  • Ryu, J.W. (Dept. of Electrical Engineering, Chungbuk National University)
  • Published : 1998.07.20
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Abstract

The paper presents an approach to the structure identification based on the CART (Classification And Regression Tree) algorithm and to the parameter identification by hybrid learning method in neuro-fuzzy system. By using the CART algorithm, the proposed method can roughly estimate the numbers of membership function and fuzzy rule using the centers of decision regions. Then the parameter identification is carried out by the hybrid learning scheme using BP (Back-propagation) and RLSE (Recursive Least Square Estimation) from the numerical data. Finally, we will show it's usefulness for fuzzy modeling to truck backer upper control.

Keywords