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Method of road damage degree assessment based on Fuzzy-neural network

LIU Yawen1,SHAO Fei1,2,DUAN Yingchang1(1.College of Field Engineering,PLA Univ.of Sci.& Tech.,Nanjing 210007,China; 2.School of Transportation,Southeast University,Nanjing 210096 China)  
A fuzzy-neural network for the assessment of road damage degree is set up through the combination of the fuzzy theory and the neural network,which is based on in-depth study of the existing methods for the road damage degree evaluation.Three evaluative indexes of the road damage degree were proposed,and the expert experience included in this model by training the fuzzy-neural network.The approach was illustrated for the damage degree evaluation of national road No.316 and compared with the existing assessment result.The result shows that the method is practical and is of high efficiency to assess the damage degree of highway system.
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