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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/81414

    Title: Adaptive TSK-type self-evolving neural control for unknown nonlinear systems
    Authors: 許駿飛;林友雄
    Contributors: 淡江大學電機工程學系
    Keywords: TSK-type self-evolving neural network
    Date: 2012-09-20
    Issue Date: 2013-03-11 16:53:06 (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: The 2012 International Conference on Advanced Mechatronic Systems
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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