<テクニカルレポート>
Convergence Rate of Minimization Learning for Neural Networks

作成者
本文言語
出版者
発行日
雑誌名
出版タイプ
アクセス権
概要 In this paper, we present the convergence rate of the error in a neural network which was learnt by a constructive method. The constructive mechanism is used to learn the neural network by adding hidd...en units to this neural network. The main idea of this work is to find the eigenvalues of the transformation matrix concerning the error before and after adding hidden units in the neural network. By using the eigenvalues, we show the relation between the convergence rate in neural networks without and with thresholds in the output layer.続きを見る

本文情報を非表示

trcs141 pdf 162 KB 123  
trcs141.ps gz 117 KB 8  

詳細

レコードID
査読有無
関連情報
主題
タイプ
登録日 2009.04.22
更新日 2017.01.20