Robotics & Machine Learning Daily News2024,Issue(Nov.22) :17-18.

Study Findings on Artificial Intelligence Detailed by a Researcher at Zhejiang U niversity of Water Resources and Electric Power (Multiple Types of Missing Preci pitation Data Filling Based on Ensemble Artificial Intelligence Models)

浙江水利电力大学一位研究员详细介绍的人工智能研究成果(基于集成人工智能模型的多种类型缺失降水数据填充)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :17-18.

Study Findings on Artificial Intelligence Detailed by a Researcher at Zhejiang U niversity of Water Resources and Electric Power (Multiple Types of Missing Preci pitation Data Filling Based on Ensemble Artificial Intelligence Models)

浙江水利电力大学一位研究员详细介绍的人工智能研究成果(基于集成人工智能模型的多种类型缺失降水数据填充)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论人工智能的新发现。根据新闻报道在杭州外,《中国人民日报》编辑的研究称,“降水观测资料是水文模拟、水资源分析、水资源分析的重要基础和环境评估。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingout of Hangzhou, People’s R epublic of China, by NewsRx editors, research stated, “The completeness ofpreci pitation observation data is a crucial foundation for hydrological simulation, w ater resource analysis,and environmental assessment.”

Key words

Zhejiang University of Water Resources a nd Electric Power/Hangzhou/People’s Republic of China/Asia/Artificial Intell igence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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