한국산학기술학회:학술대회논문집 (Proceedings of the KAIS Fall Conference)
- 한국산학기술학회 2006년도 추계학술발표논문집
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- Pages.122-128
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- 2006
비선형 제어 시스템을 이용한 다단동적 신경망 제어기 설계
Design of Multi-Dynamic Neural Network Controller using Nonlinear Control Systems
- Rho, Yong-Gi (Electronics JBHRDI) ;
- Kim, Won-Jung (Computer Application Machine KOPO) ;
- Cho, Hynu-Seob (Dept of Digital Broadcasting ENG. Chungwoon UNIV.)
- 발행 : 2006.11.02
초록
The intent of this paper is to describe a neural network structure called multi dynamic neural network(MDNN), and examine how it can be used in developing a learning scheme for computing robot inverse kinematic transformations. The architecture and learning algorithm of the proposed dynamic neural network structure, the MDNN, are described. Computer simulations are demonstrate the effectiveness of the proposed learning using the MDNN.
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