首页|New Findings on Machine Learning Described by Investigators at Nanjing Normal Un iversity (Quantitative Study of Rainfall Lag Effects and Integration of Machine Learning Methods for Groundwater Level Prediction Modelling)
New Findings on Machine Learning Described by Investigators at Nanjing Normal Un iversity (Quantitative Study of Rainfall Lag Effects and Integration of Machine Learning Methods for Groundwater Level Prediction Modelling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Nanjing, People' s Republic of China, by NewsRx journalists, research stated, “Groundwater level (GWL) is a significant indicator for quantifying groundwater availability. Curre ntly, hydrologists worldwide are actively engaged in modelling and predicting GW L.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key R&D Program of China.
NanjingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanjing Normal University
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