Fuzzy optimization BP neural network model for pavement performance assessment

摘要：

This paper discussed the use of fuzzy optimization BP neural network as a management tool for the maintenance of expressway pavement. The algorithm was applied to model pavement performance evaluation, successful in accurately and quickly capturing the high nonlinear characteristics between objective practical data and subjective synthetic evaluations, avoided the neural network activation function’s defects of unclear physical meanings. A large training set of actual pavement performance cases was used to train the network and test the generalization ability of the system. The results show that the trained network model was able to accurately and effectively assess pavement performance.

作者: Yan Liu Min Sun

作者单位: Dalian University of Technology, Dalian, P.R.China 116024 Liaoning Province Highway Construction Bureau, Shenyang, P.R.China 024

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）