Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data. - Yu Feng 008; Yong Peng; Ningbo Cui; Daozhi Gong; Kuandi Zhang (Comput. Electron. Agric., 2017)

Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands. - Dahua Tang; Yu Feng 008; Daozhi Gong; Weiping Hao; Ningbo Cui (Comput. Electron. Agric., 2018)

Comparison of BP, PSO-BP and statistical models for predicting daily global solar radiation in arid Northwest China. - Yixuan Zhang; Ningbo Cui; Yu Feng 008; Daozhi Gong; Xiaotao Hu (Comput. Electron. Agric., 2019)

Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data. - Bin Zhu; Yu Feng 008; Daozhi Gong; Shouzheng Jiang; Lu Zhao; Ningbo Cui (Comput. Electron. Agric., 2020)

Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation. - Lili Gao; Daozhi Gong; Ningbo Cui; Min Lv; Yu Feng 008 (Comput. Electron. Agric., 2021)

Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China. - Daozhi Gong; Weiping Hao; Lili Gao; Yu Feng 008; Ningbo Cui (Comput. Electron. Agric., 2021)