Comparing numerical modelling, traditional machine learning and theory-guided machine learning in inverse modeling of groundwater dynamics: A first study case application

The data, including processed input data and raw and processed results, algorithms, numerical model, and software used for the numerical modeling of this study are saved here. The paper can be accessed here: https://doi.org/10.1016/j.jhydrol.2022.128600. Important: The theory-guided machine learning code is inspired by that of Raissi et al., 2019 (https://doi.org/10.1016/j.jcp.2018.10.045).本研究数值模拟所涉及的全部数据（含预处理输入数据、原始与处理后结果）、算法、数值模型及相关软件均存储于此。本文可通过以下链接获取：https://doi.org/10.1016/j.jhydrol.2022.128600。 重要说明：本研究的理论引导式机器学习代码的设计灵感源自Raissi等人2019年发表的研究成果（https://doi.org/10.1016/j.jcp.2018.10.045）。