G2TT

浏览/检索结果: 共2条,第1-2条 帮助

已选(0)清除 条数/页:   排序方式:
Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models. 智库出版物
2019
作者:  Zaherpour J;  Mount N;  Gosling S;  Dankers R;  Eisner S;  Gerten D;  Liu X;  Masaki Y
收藏  |  浏览/下载:1/0  |  提交时间:2019/06/18
Machine learning  Model weighting  Gene expression programming  Global hydrological models  Optimisation  
Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts. 智库出版物
2018
作者:  Zaherpour J;  Gosling SN;  Mount N;  Schmied HM;  Veldkamp TIE;  Dankers R;  Eisner S;  Gerten D
Adobe PDF(3995Kb)  |  收藏  |  浏览/下载:0/0  |  提交时间:2019/06/18