Journal of the Korean Institute of Telematics and Electronics C (전자공학회논문지C)
- Volume 35C Issue 7
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- Pages.92-100
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- 1998
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- 1226-5853(pISSN)
A new identification method of a fuzzy system via double clustering
이중 클러스터링 기법을 이용한 퍼지 시스템의 새로운 동정법
Abstract
In this paper, we suggest a new identification method for sugeno-type fuzzy model via new data clustering strategy. The suggested algorithm is much simpelr than the original identification strategy adopted in. The algorithm suggested in this paper is somewhat similar to that of [2] and [6], that is the algorithm suggested in this paper consists of two steps: coarse tuning and fine tuning. In this paper, double clustering strategy is proposed for coarse tunign. Finally, the resutls of computer simulation are given to demonstrate the validity of this algorithm.
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