Supplimentary data.xlsx
收藏DataCite Commons2020-08-30 更新2024-07-27 收录
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https://figshare.com/articles/Supplimentary_data_xlsx/5849976
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资源简介:
In this study, a predictive model based GPR will be developed and evaluated on the basis of its ability to accurately estimate the influence of six physical parameters on D<sub>eff</sub>.
本研究将开发基于高斯过程回归(GPR)的预测模型,并以其准确估算六项物理参数对有效扩散系数(D_eff)影响的能力作为评估基准,对该模型进行评估。
提供机构:
figshare
创建时间:
2018-02-02



