Machine learning methods for estimation the indicators of phosphogypsum influence in soil

被引：0
|
作者：
Maria A. Pukalchik
Alexandr M. Katrutsa
Dmitry Shadrin
Vera A. Terekhova
Ivan V. Oseledets
机构：
[1] Skolkovo Institute of Science and Technology,A.N. Severtsov Institute of Ecology and Evolution
[2] Russian Academy of Sciences,undefined
[3] M.V. Lomonosov Moscow State University,undefined
来源：
Journal of Soils and Sediments | 2019年 / 19卷
关键词：
Bioassay; Biological properties; Feature relevance; Machine learning; Pollution; Regression; Soil; Trace element; Waste;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2265 / 2276
页数：11
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