제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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- Pages.185-188
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- 1996
Fuzzy polynomial neural network model and its application to wastewater treatment system
- Oh, Sung-Kwun (Department of Control and Instrumentation Engineering, Wonkwang University) ;
- Choi, Jae-Ho (Department of Control and Instrumentation Engineering, Wonkwang University) ;
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Ahn, Tae-Chon
(Department of Control and Instrumentation Engineering, Wonkwang University)
;
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Hwang, Hyung-Soo
(Department of Control and Instrumentation Engineering, Wonkwang University)
- 발행 : 1996.10.01
초록
In this paper, a fuzzy PNN algorithm is proposed to estimate the structure and parameters of fuzzy model, using the PNN based on GMDH algorithm. New algorithm uses PNN algorithm and fuzzy reasoning in order to identify the premise structure and parameter of fuzzy implications rules, and the leastsquare method in order to identify the optimal consequence parameters. Both time series data for gas furnace and data for wastewater treatment process are used for the purpose of evaluating the performance of the fuzzy PNN. The results show that the proposed technique can produce the fuzzy model with higher accuracy than other works achieved previously.