Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.11d
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- Pages.803-805
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- 2000
The Design of Fuzzy-Neural Networks using FCM Algorithms
FCM 알고리즘을 이용한 퍼지-뉴럴 네트워크 설계
- Yoon, Ki-Chan (Div. of Electrical & Engineering of Wonkwang Univ.) ;
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Park, Byoung-Jun
(Div. of Electrical & Engineering of Wonkwang Univ.) ;
- Oh, Sung-Kwun (Div. of Electrical & Engineering of Wonkwang Univ.) ;
- Lee, Sung-Hwan (Mechatronics Research Institute, Hyundai Heavy Industry)
- Published : 2000.11.25
Abstract
In this paper, we propose fuzzy-neural Networks(FNN) which is useful for identification algorithms. The proposed FNN model consists of two steps: the first step, which determines premise and consequent parameters approximately using FCM_RI method, the second step, which adjusts the premise and consequent parameters more precisely by gradient descent algorithm. The FCM_RI algorithm consists FCM clustering algorithm and Recursive least squared(RLS) method, this divides the input space more efficiently than convention methods by taking into consideration correlations between components of sample data. To evaluate the performance of the proposed FNN model, we use the time series data for gas furnace.
Keywords