한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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- Pages.263-266
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- 1997
면역화된 귀환 신경망을 이용한 로보트 매니퓰레이터 제어 시스템 설계
On Designing a Robot Manipulator Control System using Immunized Recurrent Neural Network
초록
In this paper we will develope the immnized recurrent neural network control system of a robot manipulator with high robustness in dynamically changing environment conditions. Immune system detects and eliminates the non-self materials called antigen such as virus, bacteria and so on which come from inside and outside of the living system, so plays an important role in maintaining its own system against dynamically changing environments. We apply this concept to a robot manipulator and evaluate the effectiveness of the above proposed system.
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