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An ensemble optimizer with a stacking ensemble surrogate model for identification of groundwater contamination source.

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第一作者： Liuzhi,Zhu

第一单位： Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China; College of New Energy and Environment, Jilin University, Changchun 130021, China.

作者： Liuzhi,Zhu ^[1] ; Wenxi,Lu ^[2] ; Chengming,Luo ^[1] ; Yaning,Xu ^[1] ; Zibo,Wang ^[1]

作者单位： Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China; College of New Energy and Environment, Jilin University, Changchun 130021, China. ^[1] Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China; College of New Energy and Environment, Jilin University, Changchun 130021, China. Electronic address: luwx999@163.com. ^[2]

关键词 Deep learning model Ensemble optimizer Groundwater contamination source identification Stacking ensemble surrogate Swarm intelligence optimizer

医学主题词模型, 理论(Models, Theoretical);环境监测(Environmental Monitoring);水污染物, 化学性(Water Pollutants, Chemical);计算机模拟(Computer Simulation)

DOI 10.1016/j.jconhyd.2024.104437

PMID 39341165

发布时间 2026-03-16

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