Robotics & Machine Learning Daily News2024,Issue(Dec.5) :93-94.

Guangdong Ocean University Researchers Further Understanding of Artificial Intel ligence (Spatial-temporal Offshore Current Field Forecasting Using Residual-lear ning Based Purely CNN Methodology with Attention Mechanism)

广东海洋大学研究人员对人工智能的进一步认识(基于剩余学习的纯CNN注意机制的时空近海流场预测)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :93-94.

Guangdong Ocean University Researchers Further Understanding of Artificial Intel ligence (Spatial-temporal Offshore Current Field Forecasting Using Residual-lear ning Based Purely CNN Methodology with Attention Mechanism)

广东海洋大学研究人员对人工智能的进一步认识(基于剩余学习的纯CNN注意机制的时空近海流场预测)

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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-研究人员详细介绍了人工智能的新数据。根据新闻报道来自中华人民共和国湛江,由NewsRx记者报道,研究称,“时空海流预报是海洋工程和海洋科学不可缺少的”勘探,例如协助养护和保护海洋生态系统,规划船舶确定海上航行的长度和燃料消耗,获得更深的见解海洋内部热通量的分布对于更好地了解气候变化至关重要,等等。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Zhanjiang, People ’s Republic of China, by NewsRx correspondents, research stated,“ABSTRACTSpatia l-temporal current forecasting is indispensable for ocean engineering and marine scienceexploration, for instance aiding in the conservation and protection of marine ecosystems, planning shippingroutesand determining the length and fuel consumption of sea-going voyages, obtaining deeper insightsinto the distributio n of heat flux within the ocean, which is vital for better understanding climate changes,and so on.”

Key words

Guangdong Ocean University/Zhanjiang/P eople’s Republic of China/Asia/Artificial Intelligence/Engineering/Machine L earning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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