Prediction of Resilient Modulus of Subgrade Soils from Stress State and Index Properties Using Machine Learning

Autor:	Anonymous
Rok vydání:	2022
Předmět:	Resilient modulus machine learning neural network XGBoost CatBoost LightGBM
DOI:	10.5281/zenodo.7319526
Popis:	This dataset contains input values and results of a study entitled, "Prediction of Resilient Modulus of Subgrade Soils from Stress State and Index Properties Using Machine Learning".
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ab844f93dac1a419eaa170df968d2f7 Zobrazit plný text záznamu