대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2000년도 하계학술대회 논문집 D
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- Pages.2314-2316
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- 2000
DNA 코딩 기반의 하이브리드 알고리즘을 이용한 Truck-Trailer Backing Problem의 퍼지 모델링
Fuzzy Modeling of Truck-Trailer Backing Problem Using DNA Coding-Based Hybrid Algorithm
- Kim, Jang-Hyun (Dept. of Electrical & Computer Engineering, Yonsei Univ.) ;
- Joo, Young-Hoon (School of Electronics & Information Eng., Kunsan Univ.) ;
- Park, Jin-Bae (Dept. of Electrical & Computer Engineering, Yonsei Univ.)
- 발행 : 2000.07.17
초록
In the construction of successful fuzzy models and/or controllers for nonlinear systems, identification of a good fuzzy Neural inference system is an important yet difficult problem, which is traditionally accomplished by trial and error process. In this paper, we propose a systematic identification procedure for complex multi-input single- output nonlinear systems with DNA coding method.DNA coding method is optimization algorithm based on biological DNA as are conventional genetic algothms (GAs). We also propose a new coding method for applying the DNA coding method to the identification of fuzzy Neural models. To acquire optimal TS fuzzy model with higher accuracy and economical size, we use the DNA coding method to optimize the parameters and the number of fuzzy inference system.
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