首页|Xinjiang University Researcher Yields New Findings on Machine Learning (A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evap otranspiration in the Heihe River Basin)
Xinjiang University Researcher Yields New Findings on Machine Learning (A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evap otranspiration in the Heihe River Basin)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news reporting from Urumqi, People’s Republi c of China, by NewsRx journalists, research stated, “Accurate estimation of surf ace evapotranspiration (ET) in the Heihe River Basin using remote sensing data i s crucial for understanding water dynamics in arid regions. In this paper, by co upling physical constraints and machine learning for hybrid modeling, we develop a hybrid model based on surface conductance optimization.”Financial supporters for this research include National Natural Science Foundati on of China; China Postdoctoral Science Foundation; Technology Innovation Team ( Tianshan Innovation Team), Innovative Team For Efficient Utilization of Water Re sources in Arid Regions.
Xinjiang UniversityUrumqiPeople’s Re public of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learn ing
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