Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Optimal Design of Fuzzy Hybrid Multilayer Perceptron Structure

퍼지 하이브리드 다층 퍼셉트론구조의 최적설계

  • Kim, Dong-Won (School of Electrical and Electronic Engineering, Wonkwang Univ.) ;
  • Park, Byoung-Jun (School of Electrical and Electronic Engineering, Wonkwang Univ.) ;
  • Oh, Sung-Kwun (School of Electrical and Electronic Engineering, Wonkwang Univ.)
  • 김동원 (원광대학교 전기전자공학부 제어계측공학과) ;
  • 박병준 (원광대학교 전기전자공학부 제어계측공학과) ;
  • 오성권 (원광대학교 전기전자공학부 제어계측공학과)
  • Published : 2000.07.17
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Abstract

A Fuzzy Hybrid-Multilayer Perceptron (FH-MLP) Structure is proposed in this paper. proposed FH-MLP is not a fixed architecture. that is to say. the number of layers and the number of nodes in each layer of FH-MLP can be generated to adapt to the changing environment. FH-MLP consists of two parts. one is fuzzy nodes which each node is operated as a small fuzzy system with fuzzy implication rules. and its fuzzy system operates with Gaussian or Triangular membership functions in premise part and constants or regression polynomial equation in consequence part. the other is polynomial nodes which several types of high-order polynomial such as linear. quadratic. and cubic form are used and is connected as various kinds of multi-variable inputs. To demonstrate the effectiveness of the proposed method. time series data for gas furnace process has been applied.

Keywords