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

• 分析探讨 • 上一篇    下一篇

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. 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

Application of RBF neural network in evaluating fabric style   

  1. 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: 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。

Abstract: The advanced Radial Basic Function neural network(RBF) is used to evaluate the fabric style,which has advantages over the commonly used BP neural network in recognition ability and less time required for training.It demonstrates good reliability and precision in resolving the evaluation problem of fabric style,and finds application in this area.

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