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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/81330

    Title: Adaptive TSK-type self-evolving neural control for unknown nonlinear systems
    Authors: Lin, Yu-Hsiung;Hsu, Chun-Fei
    Contributors: 淡江大學電機工程學系
    Keywords: TSK-type self-evolving neural control
    Date: 2012-09-20
    Issue Date: 2013-03-10 10:23:28 (UTC+8)
    Abstract: In this paper, a real-time approximator using a TSK-type self-evolving neural network (TSNN) is studied. The learning algorithm of the proposed TSNN not only automatically online generates and prunes the hidden neurons but also online adjusts the network parameters.
    Relation: Proceedings of the 2012 International Conference on Advanced Mechatronic Systems, pp.644-649
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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