Improved BP algorithm for neural network and its application in welding process control

被引：0
|
作者：
Pei, Hao-Dong [1 ]
Su, Hong-Ye [1 ]
Chu, Jian [1 ]
机构：
[1] Lab. of Indust. Control Technol., Zhejiang Univ., Hangzhou 310027, China
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2002年 / 36卷 / 01期
关键词：
Convergence of numerical methods - Neural networks - Process control - Welding;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Multiplayer neural network based on BP algorithm is being applied in many fields, but in spite of BP algorithmic's shortcomings of slow convergence rate and proneness to yield minimal local results. Many simulation tests and analyses, revealed that the adjusted weights of various layers differed much, so a new algorithm of weight balance layer by layer was brought forward to calculate the weights' influences on neural network . The results indicated that the new algorithm converged faster than the standard BP algorithm. And a control system simulation using the new algorithm in welding showed to be a good approach for welding control.
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页码：32 / 35
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