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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/88732


    Title: 動態遞迴式神經網路之研究
    Research on Dynamic Recurrent Neural Network
    Authors: 林明璋
    Lin, Ming Jang
    Contributors: 蔡隆義
    Tsai, Long Yi
    林明璋
    Lin, Ming Jang
    Keywords: 遞迴式神經網路
    遞迴式倒傳遞法
    自伴方程式
    強制教授法
    可調式時間遲延法
    Recurrent neural networks
    Recurrent Back-Propagation
    Adjoint Equation
    Teacher Forcing
    Adaptive Time Delay
    Date: 1994
    Issue Date: 2016-04-29 16:32:12 (UTC+8)
    Abstract:   此篇論文,主要是討論遞迴式神經網路。在文中,我們將架構一個單層的神經網路結構。並利用三種不同的學習法則來套用此架構。我們也做了圓軌跡和圖形8的模擬,以及討論了此架構的收斂性。
      Our task in this paper is to discuss the Recurrent Neural Network. We construct a singal layer neural network and apply three different learning rules to simulate circular trajectory and figure eight. Also, we present the proof of convergence.
    Description: 碩士
    國立政治大學
    應用數學系
    81155003
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002003900
    Data Type: thesis
    Appears in Collections:[Department of Mathematical Sciences] Theses

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