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  • 标题:Incremental Learning of Auto-Association Multilayer Perceptrons Network
  • 本地全文:下载
  • 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:1
  • 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
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