1Information Entropy-Based Hybrid Models Improve the Accuracy of Reference Evapotranspiration Forecast

作者： Qin, Anzhen; Fan, Zhilong; Qin, Anzhen; Zhang, Liuzeng; SCI

机构： Gansu Agr Univ, State Key Lab Aridland Crop Sci, Lanzhou 730070, Peoples R China; Chinese Acad Agr Sci, Inst Farmland Irrigat, Key Lab Crop Water Use & Regulat, Minist Agr & Rural Affairs, Xinxiang 453002, Peoples R China; Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110169, Peoples R China;

来源：ADVANCES IN METEOROLOGY

年份：2024

2Hybrid Genetic Algorithm-Based BP Neural Network Models Optimize Estimation Performance of Reference Crop Evapotranspiration in China

作者： Qin, Anzhen; Fan, Zhilong; Qin, Anzhen; Zhang, Liuzeng; SCI

机构： Gansu Agr Univ, State Key Lab Aridland Crop Sci, Lanzhou 730070, Peoples R China; Chinese Acad Agr Sci, Inst Farmland Irrigat, Key Lab Crop Water Use & Regulat, Minist Agr & Rural Affairs, Xinxiang 453002, Henan, Peoples R China; Henan Normal Univ, Coll Software, Xinxiang 453007, Henan, Peoples R China;

来源：APPLIED SCIENCES-BASEL

关键词： BP models; climatic zones; model performance; multi-layer perceptron; seasons

年份：2022