{"id":"doi:10.1016/j.conbuildmat.2018.09.087","kind":"article","title":"Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks","authors":["Hongren Gong","Yiren Sun","Zijun Mei","Baoshan Huang"],"author_count":4,"year":2018,"published":"2018-09-28","venue":"Construction and Building Materials","cited_by":130,"doi":"10.1016/j.conbuildmat.2018.09.087","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.conbuildmat.2018.09.087","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.conbuildmat.2018.09.087","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2893772597","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Asphalt Pavement Performance Evaluation"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"interpretability","name":"Mechanistic Interpretability","domain_slug":"ai"}],"cited_in_dossiers":[]}