대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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- Pages.824-826
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- 1999
다변수 퍼지 입력 공간 분할에 의한 퍼지-뉴럴 네트워크
Fuzzy-Neural Networks by Means of Division of Fuzzy Input Space with Multi-input Variables
- Park, Ho-Sung (Division of Electrical & Engineering of Wonkwang University) ;
- Yoon, Ki-Chan (Division of Electrical & Engineering of Wonkwang University) ;
- Oh, Sung-Kwun (Division of Electrical & Engineering of Wonkwang University) ;
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Ahn, Tae-Chon
(Division of Electrical & Engineering of Wonkwang University)
- 발행 : 1999.11.20
초록
In this paper, we design an Fuzzy-Neural Networks(FNN) by means of divisions of fuzzy input space with multi-input variables. Fuzzy input space of Yamakawa's FNN is divided by each separated input variable, but that of the proposed FNN is divided by mutually combined input variables. The membership functions of the proposed FNN use both triangular and gaussian membership types. The parameters such as apexes of membership functions, learning rates, momentum coefficients, weighting value, and slope are adjusted using genetic algorithms. Also, an aggregate objective function(performance index) with weighting value is utilized to achieve a sound balance between approximation and generalization abilities of the model. To evaluate the performance of the proposed model, we use the data of sewage treatment process.
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