首页|Hohai University Reports Findings in Machine Learning (Assessment of monthly run off simulations based on a physics-informed machine learning framework: The effe ct of intermediate variables in its construction)
Hohai University Reports Findings in Machine Learning (Assessment of monthly run off simulations based on a physics-informed machine learning framework: The effe ct of intermediate variables in its construction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Nanjing, People's Repu blic of China, by NewsRx editors, research stated, "Hydrological forecasting is of great importance for water resources management and planning, especially give n the increasing occurrence of extreme events such as floods and droughts. The p hysics-informed machine learning (PIML) models effectively integrate conceptual hydrologic models with machine learning (ML) models."
NanjingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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