Fatigue Life Prediction of Ductile Iron Based on DE-SVM Algorithm

摘要：

the model,predicting fatigue life of ductile iron,based on SVM (Support Vector Machine,SVM) has been established.For it is easy to fall into local optimum during parameter optimization of SVM,DE (Differential Evolution algorithm.DE) algorithm was adopted to optimize to improve prediction precision.Fatigue life of ductile iron is predicted combining with concrete examples,and simulation experiment to optimize SVM is conducted adopting GA (Genetic Algorithm),ACO (Ant Colony Optimization) and POS (Partial Swarm Optimization).Results reveal that DE-SVM algorithm is of a better prediction performance

关键词： SVM DE Fatigue life of ductileiron Prediction

作者: Ma Yiqun Wang Xiaoping An lun

作者单位: Department of Mechanical Engineering Hebei Institute of Architecture Civil Engineering Zhangjiakou,H Department of Mechanical Engineering zhangjiakou vocational and technical college Zhangjiakou,Hebei

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 376-379

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）