Applied Research of Pantograph Carbon Slide Formulation Optimization Based on Genetic Neural Network

摘要：

　　Applying BP neural network improved by GA to build a nonlinear multi-objective model between formulation ingredient and mechanical properties of electric locomotive pantograph carbon slide.And on the basis of test data improved neural network is trained; frnally we can get a genetic neural network model.Therefore,when given specific formulation of carbon slide plate,it is able to predict the corresponding mechanical properties.The research shows that the trained genetic neural network can accurately predict relevant properties of carbon slide plate and be confirmed the practical significance of the algorithm.

关键词： pantograph carbon slide formulation optimization BP Neural Network Genetic Algorithm

作者: Zeheng He Xiuyan Cai Jing Hu Yu Zhang Yue Wang

作者单位: Harbin University of Commerce,Harbin,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 411-415

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）