Robotics & Machine Learning Daily News2024,Issue(Dec.4) :134-135.

New Findings from Nanjing University of Information Science and Technology (NUIS T) in the Area of Machine Learning Described (Improving the Accuracy of Global E cmwf Wave Height Forecasts With Machine Learning)

南京信息科技大学(NUIS T)在机器学习领域的新发现(用机器学习提高全球E CMWF波高预报的精度)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :134-135.

New Findings from Nanjing University of Information Science and Technology (NUIS T) in the Area of Machine Learning Described (Improving the Accuracy of Global E cmwf Wave Height Forecasts With Machine Learning)

南京信息科技大学(NUIS T)在机器学习领域的新发现(用机器学习提高全球E CMWF波高预报的精度)

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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-一项关于机器学习的新研究现在可用。根据新闻报道中华人民共和国南京,NewsRx编辑,研究称,“显著波高(SWH)”是海上活动最关键的参数之一。但是,即使是来自广泛使用的欧洲中期天气预报中心综合预报系统(ECMWF-IFS)带有误差和不确定性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting out ofNanjing, People’s Republic of Chi na, by NewsRx editors, research stated, “Significant wave height (SWH)stands as one of the most crucial parameters for maritime activities. However, even the S WH data fromthe widely utilized European Centre for Medium-Range Weather Foreca st Integrated Forecasting System(ECMWF-IFS) carries errors and uncertainties.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing University of Infor mation Science and Technology (NUIST)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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