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Convergence of Online Gradient Method for Recurrent Neural Networks

  • 【作者】Ding, Xiaoshuai,Zhang, Ruiting
  • 【DOI】10.1080/09720502.2015.1013721
  • 【作者单位】1 College of Education Tibet University for NationalitiesXianyang, 712082China. E-mail:missdxss@163.com 2 Canvard College Beijing Technology and Business UniversityBeijing, 101118China. E-mail:ruitingzh@163.com
  • 【年份】2015
  • 【卷号】Vol.18 No.1-2
  • 【页码】159-177
  • 【ISSN】0972-0502
  • 【关键词】Recurrent neural networks online gradient method monotonicity convergence 
  • 【摘要】 Recurrent neural networks are widely used for analysis and prediction of temporal sequences. An online gradient learning method for recurrent neural networks is considered and its convergence is proved in this paper. Rather than most of the convergen...
  • 【文献类型】 期刊
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