Genetic Algorithm-Based Fuzzy Neural Network Model to Evaluate Pavement Performance

摘要：

Pavement performance assessment is a critical component of any pavement management system (PMS) decision-making process. A novel model integrating genetic algorithm and fuzzy neural network was proposed to solve the problem of pavement performance assessment. Genetic algorithm was to optimize the connection weights of fuzzy neural network to acquire approximate optimal solution, and fuzzy neural network tuned finely further. The results show that more scientific, effective, accurate assessment of pavement performance can be acquired with genetic algorithm-based fuzzy neural network model.

作者: Haigui Kang Yan Liu Yugang Li Min Sun

作者单位: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, 1 State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, 1 Liaoning Province Highway Construction Bureau, Shenyang,024,China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）