Deng, Fangming
He, Yigang
Zhou, Shuangxi
Yu, Yun
Cheng, Haigen
Wu, Xiang
Funding for this research was provided by:
Natural Science Foundation of China (51577046, 51767006, 51662008)
National Natural Science Foundation of China (51637004)
Equipment Research Key Project in Advance (41402040301)
Natural Science Foundation of Jiangxi Province (20171BAB206045)
Science and Technology Project of Education Department of Jiangxi Province (GJJ160491, GJJ170378)
This article is maintained by: Elsevier
Article Title: Compressive strength prediction of recycled concrete based on deep learning
Journal Title: Construction and Building Materials
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.conbuildmat.2018.04.169
Content Type: article
Copyright: © 2018 Elsevier Ltd. All rights reserved.