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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：31/0  |  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  
Locating unknown number of multi-point hazardous gas leaks using Principal Component Analysis and a Modified Genetic Algorithm 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 230
作者:  Wang J.;  Zhang R.;  Li J.;  Xin Z.
收藏  |  浏览/下载：40/0  |  提交时间：2022/01/18
Genetic algorithm  Hazardous gas leak  Multi-point release identification  Primary component analysis  Source inversion  
Carbon and hydrogen isotopes of methane, ethane, and propane: A review of genetic identification of natural gas 期刊论文
Earth Science Reviews, 2019, 卷号: 190
作者:  Liu Q.;  Wu X.;  Wang X.;  Jin Z.;  Zhu D.;  Meng Q.;  Huang S.;  Liu J.;  Fu Q.
收藏  |  浏览/下载：40/0  |  提交时间：2021/09/01
Alkane  Carbon isotope  Genetic identification  Hydrogen isotope  Natural gas  Secondary process