Research on Maintenance Quality Assessment of High Grade Highway Based on Fuzzy-Neural Network

被引：0
|
作者：
Xian, Shupeng [1 ]
Shao, Fei [1 ]
Duan, Yingchang [1 ]
You, Jun [2 ]
机构：
[1] PLA Univ Sci & Tech, Coll Field Engn, Nanjing, Jiangsu, Peoples R China
[2] PLA Univ Sci & Tech, Coll Command Informat Syst, Nanjing, Jiangsu, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON TRANSPORTATION (ICTR 2013) | 2013年
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
According to the requirements of high grade highway maintenance management, a fuzzy-neural network for highway maintenance quality assessment is set up through the combination between the fuzzy theory and the neural network. Six evaluative indexes of highway maintenance quality are proposed, and experts experience is included in this model by training the fuzzy-neural network. The approach is illustrated for the maintenance quality assessment of national road No. 328 and compared with the existing assessment results. The result in this paper is shown that fuzzy-neural network method is practical and high efficiency to assess the maintenance quality of high grade highway.
引用
收藏
页码：112 / 118
页数：7
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