대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

HCM 방법을 이용한 다중 FNN 설계에 관한 연구

A Study on the Design of Multi-FNN Using HCM Method

  • 박호성 (원광대학교 전기전자공학부) ;
  • 윤기찬 (원광대학교 전기전자공학부) ;
  • 오성권 (원광대학교 전기전자공학부)
  • Park, Ho-Sung (Division of Electrical & Electronic Engineering, Wonkwang Univ.) ;
  • Yoon, Ki-Chan (Division of Electrical & Electronic Engineering, Wonkwang Univ.) ;
  • Oh, Sung-Kwun (Division of Electrical & Electronic Engineering, Wonkwang Univ.)
  • 발행 : 1999.11.20
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초록

In this paper, we design the Multi-FNN(Fuzzy-Neural Networks) using HCM Method. The proposed Multi-FNN uses simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rules. Also, We use HCM(Hard C-Means) method of clustering technique for improvement of output performance from pre-processing of input data. The parameters such as apexes of membership function, learning rates and momentum coefficients are adjusted using genetic algorithms. We use the training and testing data set to obtain a balance between the approximation and the generalization of our model. Several numerical examples are used to evaluate the performance of the our model. From the results, we can obtain higher accuracy and feasibility than any other works presented previously.

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