Robotics & Machine Learning Daily News2024,Issue(Jun.13) :78-79.

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)

南京师范大学研究人员关于机器学习的新发现(降雨滞后效应的定量研究和地下水位预测模型的机器学习方法集成)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :78-79.

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)

南京师范大学研究人员关于机器学习的新发现(降雨滞后效应的定量研究和地下水位预测模型的机器学习方法集成)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx记者在中国南京的新闻报道,研究表明:“地下水位(GWL)是定量地下水可利用性的重要指标。目前,世界各地的水文学家都在积极地进行GW L的建模和预测。”本研究的资金来源包括国家自然科学基金(NSFC)、国家重点研发项目。

Abstract

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.

Key words

Nanjing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Nanjing Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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