Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2000.06c
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- Pages.9-12
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- 2000
Auto-Tunning of Activation Function in Neural Networks Using Fuzzy Inference
퍼지 추론에 의한 신경회로망 활성화 함수 형상의 자동 조정
- Gim, Ine (Dept. of Electronics Engineering, Dongguk Univ.) ;
- Jung, Kyung-Kwon (Dept. of Electronics Engineering, Dongguk Univ.) ;
- Kim, Joo-Woong (Dept. of Electronics Engineering, Dongguk Univ.) ;
- Seo, Won-Ho (Dept. of Electronics Engineering, Dongguk Univ.) ;
- Son, Dong-Seol (Dept. of Electronics, Yuhan College) ;
- Eom, Ki-Hwan (Dept. of Electronics Engineering, Dongguk Univ.)
- 김인 (동국대학교 전자공학과) ;
- 정경권 (동국대학교 전자공학과) ;
- 김주웅 (동국대학교 전자공학과) ;
- 서원호 (동국대학교 전자공학과) ;
- 손동설 (유한대 전자과) ;
- 엄기환 (동국대학교 전자공학과)
- Published : 2000.06.01
Abstract
In this paper, we propose the auto-tunning method for the gradient of activation function using fuzzy inference. In order to verify the usefulness of the proposed method, we simulated it with one link manipulator system and confirmed the excellency,
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