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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27020

    Title: An orthogonal neural network for function approximation
    Authors: Yang,SS;Tseng,CS
    Contributors: 機械工程學系
    Keywords: SYSTEMS
    Date: 1996
    Issue Date: 2010-06-29 18:05:44 (UTC+8)
    Publisher: 中央大學
    Abstract: This paper presents a new single-layer neural network which is based on orthogonal functions. This neural network is developed to avoid the problems of traditional feedforward neural networks such as the determination of initial weights and the numbers of layers and processing elements, The desired output accuracy determines the required number of processing elements, Because weights are unique, the training of the neural network converges rapidly, An experiment in approximating typical continuous and discrete functions is given, The results show that the neural network has excellent performance in convergence time and approximation error.
    Appears in Collections:[機械工程研究所] 期刊論文

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