Application of Intellectual calculation in parameters optimization

摘要：

It is an important and a hard work to find out the best welding parameters before working at first. On the study of nonlinear mapping function of BP Neural Network (BP NN) and global optimizing ability of Genetic Algorithm (GA), a method combined quadratic regressive orthogonal design with artificial Neural Network and Genetic Algorithm is introduced here, the method can find out the best welding parameters within the whole range of possibilities. The different influence caused by various population size and different crossover fraction is also studied here. Results testify that this method can not only reduce the testing number but also has the virtue of accuracy, efficiency and extensive adaptability.

关键词： parameters optimization GA BP neural network

作者: Ye jianxiong Wei hui

作者单位: Nanchang Institute of Technology Nanchang,P.R.C;Electromechanical college of Nanchang University Jiangxi Blue sky University;Electromechanical college of Nanchang University Nanchang,P.R.C

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 504-507

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）