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http://dx.doi.org/10.5302/J.ICROS.2007.13.4.309

Characteristics Modeling of Dynamic Systems Using Adaptive Neural Computation  

Kim, Byoung-Ho (경성대학교 전기전자메카트로닉스공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.4, 2007 , pp. 309-314 More about this Journal
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.
Keywords
dynamic system modeling; adaptive neural computation; dynamic learning rate;
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