Robotics & Machine Learning Daily News2024,Issue(Jun.28) :55-55.

New Machine Learning Study Findings Have Been Reported by Researchers at Nationa l Institute of Natural Hazards (Runoff Prediction in Different Forecast Periods via a Hybrid Machine Learning Model for Ganjiang River Basin, China)

国家自然灾害研究所的研究人员报告了机器学习研究的新发现(基于混合机器学习模型的赣江流域不同预报期径流预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :55-55.

New Machine Learning Study Findings Have Been Reported by Researchers at Nationa l Institute of Natural Hazards (Runoff Prediction in Different Forecast Periods via a Hybrid Machine Learning Model for Ganjiang River Basin, China)

国家自然灾害研究所的研究人员报告了机器学习研究的新发现(基于混合机器学习模型的赣江流域不同预报期径流预测)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx记者来自中华人民共和国辽宁的新闻报道,研究表明,"Acc月径流预测对水资源的有效管理、分配和利用至关重要"。本研究的资助者包括中国国家重点研究开发项目;中国国家自然科学基金;江西项目"科技+水利"联合计划项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Beij ing, People’s Republic of China, by NewsRx correspondents, research stated, “Acc urate forecasting of monthly runoff is essential for efficient management, alloc ation, and utilization of water resources.” Funders for this research include The National Key Research And Development Prog ram of China; The National Natural Science Foundation of China; The Jiangxi Prov ince “science And Technology + Water Conservancy” Joint Plan Project.

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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