文章基本信息

标题：Incremental Learning of Auto-Association Multilayer Perceptrons Network
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作者：Essam Al-Daoud
期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2006
卷号：3
期号：2
出版社：Zarqa Private University
摘要：This paper introduces a new algorithm to reduce the time of updating the weights of auto-association multilayer perceptrons network. The basic idea is to modify the singular value decomposition which has been used in the batch algorithm to update the weights whenever a new row is added to the input matrix. The computation analysis and the experiments show that the new algorithm speeds up the implementation about 5-8 times.
关键词：Neural networks; auto-association multilayer perceptrons; singular value decomposition.