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Assessing artificial neural network performance for predicting interlayer conditions and layer modulus of multi-layered flexible pavement被引量：4
《Frontiers of Structural and Civil Engineering》2020年第2期487-500,共14页Lingyun YOU Kezhen YAN Nengyuan LIU 
This work was financially supported by the National Natural Science Foundation of China(Grant Nos.51278188,50808077,and 51778224);the Project of Young Core Instructor Growth from Hunan Province.The first author also acknowledges the financial support from the China Scholarship Council(CSC)under No.201606130003.The authors are sincerely grateful for their financial support.In addition,the manuscript has received the written quality improvement assistance from Michigan Tech Multilteracies Center during the revisions.The views and findings of this study represent those of the authors and may not rflect those of NSFC,Hunan University,and CSC.
The objective of this study is to evaluate the performance of the artificial neural network(ANN)approach for predicting interlayer conditions and layer modulus of a multi-layered flexible pavement structure.To achieve...
关键词：asphalt pavement interlayer conditions finite element method artificial neural network BACK-CALCULATION 
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