RBF神经网络在织物风格评价中的应用

纺织学报 ›› 2005, Vol. 26 ›› Issue (6): 41-43.

RBF神经网络在织物风格评价中的应用

曹安照¹,田丽¹,陈俊¹,段争光¹,毕松梅²

1.安徽工程科技学院电气工程系安徽芜湖241000 ;2.安徽工程科技学院纺织工程系安徽芜湖241000

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2005-12-15 发布日期:2005-12-15

Application of RBF neural network in evaluating fabric style

1.Electricial Engineering Department;Anhui University of Technology and Science;Wuhu;Anhui 241000;China;2.Textile Engineering Department;Anhui University of Technology and Science;Wuhu;Anhui 241000;China

Received:1900-01-01 Revised:1900-01-01 Online:2005-12-15 Published:2005-12-15

摘要/Abstract

摘要： 采用先进的径向基函数神经网络(RBF)对织物风格进行评价,较之常用的BP神经网络,RBF的识别能力更强,训练时间也大大缩短,对解决织物风格评定问题具有一定的可靠度和精度,在织物风格评定中具有一定的应用价值。

曹安照;田丽;陈俊;段争光;毕松梅. RBF神经网络在织物风格评价中的应用[J]. 纺织学报, 2005, 26(6): 41-43.

Application of RBF neural network in evaluating fabric style. Application of RBF neural network in evaluating fabric style[J]. JOURNAL OF TEXTILE RESEARCH, 2005, 26(6): 41-43.

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RBF神经网络在织物风格评价中的应用

Application of RBF neural network in evaluating fabric style

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