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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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動態遞迴式神經網路之研究 / Research on Dynamic Recurrent Neural Network

林明璋, Lin, Ming Jang Unknown Date (has links)
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.
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

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