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A Generalized Rough Set Modeling Method for Welding Process
作者姓名:黎文航  陈善本  林涛  杜全营
作者单位:Inst. of Welding Technology. Shanghai Jiaotong Univ.,Inst. of Welding Technology. Shanghai Jiaotong Univ.,Inst. of Welding Technology. Shanghai Jiaotong Univ.,Inst. of Welding Technology. Shanghai Jiaotong Univ.,Shanghai 200030 China,Shanghai 200030 China,Shanghai 200030 China,Shanghai 200030 China
摘    要:Modeling is essential, significant and difficult for the quality and shaping control of arc welding process. A generalized rough set based modeling method was brought forward and a dynamic predictive model for pulsed gas tungsten arc welding (GTAW) was obtained by this modeling method. The results show that this modeling method can well acquire knowledge in welding and satisfy the real life application. In addition, the results of comparison between classic rough set model and back-propagation neural network model respectively are also satisfying.

关 键 词:焊接自动化技术  变量精度设置  气体  钨元素

A Generalized Rough Set Modeling Method for Welding Process
LI Wen-hang,CHEN Shan-ben,LIN Tao,DU Quan-ying.A Generalized Rough Set Modeling Method for Welding Process[J].Journal of Shanghai Jiaotong university,2007,12(3):319-323.
Authors:LI Wen-hang  CHEN Shan-ben  LIN Tao  DU Quan-ying
Abstract:Modeling is essential, significant and difficult for the quality and shaping control of arc welding process. A generalized rough set based modeling method was brought forward and a dynamic predictive model for pulsed gas tungsten arc welding (GTAW) was obtained by this modeling method. The results show that this modeling method can well acquire knowledge in welding and satisfy the real life application. In addition, the results of comparison between classic rough set model and back-propagation neural network model respectively are also satisfying.
Keywords:variable precision rough set  modeling  welding process  gas tungsten arc welding(GTAW)
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