摘要
一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-人工智能的新研究是一份新报告的主题。根据NewsRx记者从中国乌鲁木齐发回的新闻报道，研究表明：“利用遥感数据准确估算黑河流域地表蒸散量(ET)对于了解干旱地区的水分动态至关重要，本文将物理约束条件与机器学习相结合进行混合建模。我们开发了一个基于表面电导优化的混合模型。"本研究的资金支持包括中国国家自然科学基金、中国博士后科学基金、干旱地区高效利用水资源创新团队技术创新团队（天山创新团队）。
Abstract
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.
NETL
NSTL