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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  Analysis of hidden nodes for Muti-layer perceptron neural networks

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12767

    Title: Analysis of hidden nodes for Muti-layer perceptron neural networks
    Authors: I-Chang Jou
    Shih-Shien You
    Long-Wen Chang
    Date: 1992
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Keywords: multi-layer
    crashed nodes
    Abstract: In the multi-layer perceptron,its fault tolerance is highly related to its redundant hidden nodes. More redundant hidden modes will have the advantage of higher degree of fault tolerance but have the disadvantage of more computational and hardware complexities. In this paper we shall give an overall analysis of its hidden nodes and its fault tolerance. Falilt tolerance in the neural networks is first discussed. Then we propose a new strategy which can give the maxinum number of crashed nodes allowed within a given error for the neural network.In addition, we can remove some redundant hidden nodes for less computation. Simulation results are also given to illustrate the correctness of our method.
    Relation Link: Intelligent Robots and Systems, 1992., Proceedings of the 1992 lEEE/RSJ International Conference on
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12767
    Appears in Collections:[資訊工程學系] 期刊論文
    [資訊系統與應用研究所] 期刊論文
    [電腦與通訊科技研發中心] 期刊論文

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