Robotics & Machine Learning Daily News2024,Issue(Jun.17) :15-16.

Data on Machine Learning Discussed by Researchers at China University of Geoscie nces (Comment On Papers Using Machine Learning for Significant Wave Height Time Series Prediction: Complex Models Do Not Outperform Auto-regression)

中国地质大学NCES研究人员讨论的机器学习数据(对机器学习用于显著波高时间序列预测的论文的评论:复杂模型的性能不优于自回归)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :15-16.

Data on Machine Learning Discussed by Researchers at China University of Geoscie nces (Comment On Papers Using Machine Learning for Significant Wave Height Time Series Prediction: Complex Models Do Not Outperform Auto-regression)

中国地质大学NCES研究人员讨论的机器学习数据(对机器学习用于显著波高时间序列预测的论文的评论:复杂模型的性能不优于自回归)

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摘要

机器人与机器学习日报的新闻记者兼新闻编辑-机器学习日报的最新研究结果已经发表。据中国人民共和国武汉的新闻报道,NewsRx记者的研究表明:“显著海高(SWH)在海洋工程的许多方面都是至关重要的,因此准确预测SWH具有巨大的实用价值。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Wuhan, People’s Republ ic of China, by NewsRx journalists, research stated, “SignificantWave Height (S WH) is crucial in many aspect of ocean engineering. The accurate prediction of S WHhas therefore been of immense practical value.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/China University of Geosciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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