Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

Y Feng, N Cui, D Gong, Q Zhang, L Zhao - Agricultural Water Management, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is of importance for regional
water resource management. The present study proposed two artificial intelligence models …

Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling.

FY Feng Yu, CNB Cui NingBo, GDZ Gong DaoZhi… - 2017 - cabidigitallibrary.org
Accurate estimation of reference evapotranspiration (ET0) is of importance for regional water
resource management. The present study proposed two artificial intelligence models …

Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

Y Feng, N Cui, D Gong, Q Zhang… - Agricultural Water …, 2017 - ui.adsabs.harvard.edu
Accurate estimation of reference evapotranspiration (ET 0) is of importance for regional
water resource management. The present study proposed two artificial intelligence models …

Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

Y Feng, N Cui, D Gong, Q Zhang… - Agricultural Water …, 2017 - ideas.repec.org
Accurate estimation of reference evapotranspiration (ET0) is of importance for regional water
resource management. The present study proposed two artificial intelligence models …

Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

Y Feng, N Cui, D Gong, Q Zhang… - Agricultural Water …, 2017 - econpapers.repec.org
Accurate estimation of reference evapotranspiration (ET0) is of importance for regional water
resource management. The present study proposed two artificial intelligence models …

[引用][C] Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling

Y Feng, N Cui, D Gong, Q Zhang, L Zhao - 2017