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可解释的机器学习用于预测五二在地下水中的命运和运输

Mehran Rad1, Azra Abtahi2, Ronny Berndtsson3

  • 1Department of Agriculture and Food, Research Institutes of Sweden (RISE), Box 5401, SE-402 29, Göteborg, Sweden; Division of Water Resources Engineering, Department of Building and Environmental Technology, Lund University, Box 118, SE-221 00, Lund, Sweden.

Environmental pollution (Barking, Essex : 1987)
|January 26, 2024
PubMed
概括

机器学习 (ML) 模型有效预测五二 (PCP) 地下水污染. 基于树的ML适合不完整的数据,帮助现场管理人员进行具有成本效益的监测和修复计划.

关键词:
受污染的场所被污染了可解释的人工智能在SHAP中,价值是SHAP值.可持续的整治 可持续的整治基于树的回归方法

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