Author:
Gao Lili,Gong Daozhi,Cui Ningbo,Lv Min,Feng Yu
Funder
Fundamental Research Funds for the Central Universities
Hebei Provincial Key Research Projects
China Meteorological Administration
National Natural Science Foundation of China
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference51 articles.
1. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration. Guidelines for Computing Crop Evapotranspiration. FAO Irrigation and Drainage Paper no. 56, Rome, Italy.
2. Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables;Antonopoulos;Comput. Electron. Agr.,2017
3. Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine;Chia;Agric. Water Manag.,2021
4. Comparison of four bio-inspired algorithms to optimize KNEA for predicting monthly reference evapotranspiration in different climate zones of China;Dong;Comput. Electron. Agr.,2021
5. Estimation of daily dew point temperature by using bat algorithm optimization based extreme learning machine;Dong;Appl. Therm. Eng.,2020
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