Applicability of hybrid bionic optimization models with kernel-based extreme learning machine algorithm for predicting daily reference evapotranspiration: a case study in arid and semiarid regions, China

Author:

Zhao Long,Zhao Xinbo,Li Yuanze,Shi Yi,Zhou Hanmi,Li Xiuzhen,Wang Xiaodong,Xing Xuguang

Funder

National Natural Science Foundation of China

Key R&D and Promotion Projects in Henan Province

PhD Research Startup Foundation of Henan University of Science and Technology

Key Scientific Research Project of Colleges and Universities in Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Reference34 articles.

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2. Anurag M, Yazid T, Saad SS et al (2021) Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms. Environ Sci Pollut Res 28:39139–39158

3. Arora I, Saha A (2019) ELM and KELM based software defect prediction using feature selection techniques. J Inf Optim Sci 40:1025–1045

4. Bughici T, Lazarovitch N, Fredj E, Tas E (2019) Evaluation and bias correction in WRF model forecasting of precipitation and potential evapotranspiration. J Hydrometeorol 20(5):965–983. https://doi.org/10.1175/JHM-D-18-0160.1

5. Chia M, Huang Y, Koo C (2020) Reference evapotranspiration estimation using adaptive neuro-fuzzy inference system with limited meteorological data IOP conference series. Earth Environ Sci 612:012017

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