Radial Basis Neural Network based CAD System for Welding Material

摘要：

　　The formula of industrial welding material is directly related to their physical properties,in order to study the relationship between the two factors.A computer-aided design system for welding materials based on RBF (Radial Basis Function) neural network theory is designed and implemented.The system is able to establish the artificial neural network model for impact factors and performance index,based on which the performance prediction,formula prediction and analysis modules can be generated.The simulated results show that the predicted results enjoys related error less than 5% compared with the measured data,which have great practical significance to guide welding material researchers to explore the correlation between impact factors and performance index.

关键词： computer aided design welding material radial basis neural network feedforward feedback

作者: Juan Wang Siyu Lai

作者单位: Department of Computer Science, China West Normal University, NanChong, China Department of Medical imaging, North Sichuan Medical College, NanChong, China

会议类型: 国际会议

会议名称: 2nd International Conference on Polymer Composities and Polymer Testing (2013第二届高分子复合材料与高分子测试国际会议暨先进工业技术与方案国际会议)(ISPCPT2013)

会议地点: 太原

会议语种:英文

页码: 403-406

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）