吉林大学学报(工学版)

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Limited supervising method for learning rate regulation

Li Hong-yan1，Liu Xian-liang2，Bao Xin-hua1   

  1. 1.College of Environment and Resources, Jilin University, Changchun 130026, China; 2.Yellow River Conservancy Technical Institute, Kaifeng 475003,China
  • Received:2006-01-12 Revised:2006-04-10 Online:2007-07-01 Published:2007-07-01
  • Contact: Li Hong-yan

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Abstract: The mechanism of the impact of learning rate on the errordropcurve of BP networks was studied. Then a limited supervising method for learning rate regulation was proposed, by which the learning rate of BP networks is capable for selfadaptive adjustment. This method was validated by demonstration study and engineering application.

Key words: artificial intelligence, learning rate, limited supervising to regulating, artificial neural network , BP networks

CLC Number: 

  • TP183
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