Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling
出版年份 2020 全文链接
标题
Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling
作者
关键词
Deep learning, Boosting, Transfer learning, Hydroclimate, Reference crop evapotranspiration, Model explainability
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 170, Issue -, Pages 114498
出版商
Elsevier BV
发表日期
2020-12-24
DOI
10.1016/j.eswa.2020.114498
参考文献
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