Prediction of Rubber Aging Life by Intelligent Neural Network

摘要：

　　Predicting the agin life of rubber is mostly based on traditional dynamic methods.These methods often have some limitations,which can not reflect the influence of certain factors.To avoid such limitations,a BP neural network model was established to predict the aging life of rubber.Comparing with the BP neural network model,results from the genetic algorithm optimization model(GA-BP)and the particle swarm optimization model(PSO-BP)showed that the GA-BP network model has better stability and accuracy and can quickly get the global optimal solution.The prediction accuracy of the GA-BP neural network model is better than that of the traditional dynamic model and its result is in good agreement with the experimental data.

作者: Hong HE WenQi HU ShenJun GAO

作者单位: Electromechanic Engineering College,Beijing University of Chemical Technology,Chaoyang,Beijing,China Shanghai Jingyi Rubber Technology Co.,Ltd.,Shanghai,China

会议类型: 国际会议

会议名称: 2018年建筑、航空与环境工程国际学术论坛-物联网(IFCAE-IOT 2018)2018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things(IFCAE-IOT 2018)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2018-05-11（万方平台首次上网日期，不代表论文的发表时间）