한국산학기술학회:학술대회논문집 (Proceedings of the KAIS Fall Conference)
- 한국산학기술학회 2006년도 춘계학술발표논문집
- /
- Pages.316-319
- /
- 2006
Genetic Algorithms를 이용한 비선형 시스템의 신경망 제어
Neuro-Control of Nonlinear Systems Using Genetic Algorithms
- Cho, Hyeon-Seob (Chungwoon University) ;
- Min, Jin-Kyoung (Chungwoon University) ;
- Ryu, In-Ho (Iksan National College)
- 발행 : 2006.05.25
초록
Connectionist networks, also called neural networks, have been broadly applied to solve many different problems since McCulloch and Pitts had shown mathematically their information processing ability in 1943. In this thesis, we present a genetic neuro-control scheme for nonlinear systems. Our method is different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its training.
키워드