A BP Neural Network Method for Grade Classification of Loose Damage in Semirigid Pavement Bases
This study aims to address the problem that loose damage of the pavement base course cannot currently be quantitatively identified, and thus the classification and recognition of the extent of looseness mainly rely on empirical judgments. Based on the finite-difference time-domain (FDTD) method, a b...
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Main Authors: | Bei Zhang, Jianyang Liu, Yanhui Zhong, Xiaolong Li, Meimei Hao, Xiao Li, Xu Zhang, Xiaoliang Wang |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
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Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6658235 |
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