Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.07d
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- Pages.3001-3003
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- 2000
Implementation of Fuzzy Self-Organizing Networks Algorithm and Its Application to Nonlinear Systems
퍼지 자기구성 네트워크 알고리즘의 구현 및 비선형 시스템으로의 응용
- Park, Byoung-Jun (Dept. of Control & Instrumentation Engineering, Wonkwang Univ.) ;
- Kim, Dong-Won (Dept. of Control & Instrumentation Engineering, Wonkwang Univ.) ;
- Lee, Dae-Keun (Dept. of Control & Instrumentation Engineering, Wonkwang Univ.) ;
- Oh, Sung-Kwun (Dept. of Control & Instrumentation Engineering, Wonkwang Univ.)
- Published : 2000.07.17
Abstract
In this paper. we propose Fuzzy Self-Organizing Networks (FSON) using both Polynomial Neural Networks(PNN) and Fuzzy Neural Networks(FNN) for model identification of complex and nonlinear systems. The proposed FSON is generated from the mutually combined structure of both FNN and PNN. Accordingly it is possible to consider the nonlinearity characteristics of process and to get the better output performance with superb predictive ability. In order to evaluate the performance of proposed models. we use the nonlinear data sets. The results show that the proposed FSON can produce the model with higher accuracy and more robustness than previous any other method.
Keywords