Convergence of batch gradient method with penalty and momentum for GNNM(1,1)
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论文类型:会议论文
发表时间:2013-07-23
收录刊物:Scopus、EI
页面范围:8-12
摘要:In this paper the penalty term and momentum term are used in batch gradient method which improve the learning method for one-dimensional gray neural network model (GNNM(1,1)). Moreover, the convergence of the modified batch gradient method for GNNM(1,1) is proved. ? 2013 IEEE.
