Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Characteristics Modeling of Dynamic Systems Using Adaptive Neural Computation

적응 뉴럴 컴퓨팅 방법을 이용한 동적 시스템의 특성 모델링

  • 김병호 (경성대학교 전기전자메카트로닉스공학부)
  • Published : 2007.04.01
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Abstract

This paper presents an adaptive neural computation algorithm for multi-layered neural networks which are applied to identify the characteristic function of dynamic systems. The main feature of the proposed algorithm is that the initial learning rate for the employed neural network is assigned systematically, and also the assigned learning rate can be adjusted empirically for effective neural leaning. By employing the approach, enhanced modeling of dynamic systems is possible. The effectiveness of this approach is veri tied by simulations.

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References

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