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Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms 期刊论文
, 2020, 卷号: 138
作者:  Zhao Y.;  Qu R.;  Xing Z.;  Lu W.
收藏  |  浏览/下载：26/0  |  提交时间：2020/07/28
Contamination  Efficiency  Genetic algorithms  Groundwater  Groundwater pollution  Heuristic algorithms  Knowledge acquisition  Learning algorithms  Machine learning  Modular robots  Particle swarm optimization (PSO)  Quantum computers  Contaminant concentrations  Contaminant sources  Extreme learning machine  Groundwater contaminants  Heuristic optimization algorithms  Heuristic search algorithms  Source characteristics  Traditional genetic algorithms  Computational efficiency  accuracy assessment  genetic algorithm  groundwater pollution  identification method  machine learning  optimization  reliability analysis  surrogate method  
USGS Monitoring Groundwater for Hormones and Pharmaceuticals 科技资讯
2019
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contaminants  drinking water  emerging contaminants  featured  groundwater  hormones  hydrocortisone  Laura Bexfield  NAWQA  New Mexico Water Science Center  news ticker  pharmaceuticals  USGS  USGS National Water-Quality Laboratory  USGS Toxic Substances Hydrology Program