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Characteristics Modeling of Dynamic Systems Using Adaptive Neural Computation
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 Title & Authors
Characteristics Modeling of Dynamic Systems Using Adaptive Neural Computation
Kim, Byoung-Ho;
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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.
dynamic system modeling;adaptive neural computation;dynamic learning rate;
 Cited by
뉴럴 러닝 기반 로봇 손가락의 역기구학,김병호;

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