Title :
Research on Rural Highway Maintenance Management Assessment Methods Based on ANN
Author_Institution :
Sch. of Resources & Environ. Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
A maintenance management assessment system for rural highway is mainly researched, in which the sub module of the daily maintenance management, technological and safety condition state of rural highway, and level of rural highway net are incorporated. In addition, the expert knowledge are inserted in the system, the multi-layer neural network and fuzzy-set theory are used to implement maintenance management assessment for rural highway, and the feasibility and effectiveness of the assessment system are finally verified by practical rural highway.
Keywords :
condition monitoring; fuzzy neural nets; fuzzy set theory; maintenance engineering; road safety; roads; structural engineering computing; ANN; artificial neural network; expert knowledge; fuzzy-set theory; multilayer neural network; rural highway maintenance management assessment system; safety condition state; technological state; Fuzzy neural networks; Indexes; Maintenance engineering; Neural networks; Road transportation; Systematics; Training; fuzzy-neural network; maintenance management assessment; rural highway;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.59
