Robotics & Machine Learning Daily News2024,Issue(Nov.15) :34-35.

Researchers’ Work from University of Michigan Focuses on Machine Learning (Predi cting Ship Responses In Different Seaways Using a Generalizable Force Correcting Machine Learning Method)

密歇根大学的研究人员的工作重点是机器学习(使用可推广的力校正机器学习方法预测不同航道中的船舶响应)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :34-35.

Researchers’ Work from University of Michigan Focuses on Machine Learning (Predi cting Ship Responses In Different Seaways Using a Generalizable Force Correcting Machine Learning Method)

密歇根大学的研究人员的工作重点是机器学习(使用可推广的力校正机器学习方法预测不同航道中的船舶响应)

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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-研究人员详细介绍机器学习的新数据。根据新闻报道在密歇根州安娜堡,Ne wsRx记者,研究表明,“机器学习(ML)方法”如果它能够对不同于训练数据集的输入进行预测,则可推广。对于波致船舶响应的预测,如果要采用ML方法,一般化是一个重要的考虑因素对设计评估有用"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingin Ann Arbor, Michigan, by Ne wsRx journalists, research stated, “A machine learning (ML) methodis generaliza ble if it can make predictions on inputs which differ from the training dataset. For predictions of wave-induced ship responses, generalizability is an importan t consideration if ML methods are to beuseful in design evaluations.”

Key words

Ann Arbor/Michigan/United States/Nort h and Central America/Cyborgs/Emerging Technologies/Machine Learning/Univers ity of Michigan

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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