Robotics & Machine Learning Daily News2024,Issue(Nov.29) :105-106.

Research Conducted at Technical University of Denmark (DTU) Has Updated Our Know ledge about Machine Learning (Uncertaintyassociated Directional Wave Spectrum E stimation From Waveinduced Ship Responses Using Machine Learning Methods)

丹麦技术大学(DTU)进行的研究更新了我们关于机器学习的知识(使用机器学习方法从波浪诱导的船舶响应中获得不确定性相关的方向波谱)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :105-106.

Research Conducted at Technical University of Denmark (DTU) Has Updated Our Know ledge about Machine Learning (Uncertaintyassociated Directional Wave Spectrum E stimation From Waveinduced Ship Responses Using Machine Learning Methods)

丹麦技术大学(DTU)进行的研究更新了我们关于机器学习的知识(使用机器学习方法从波浪诱导的船舶响应中获得不确定性相关的方向波谱)

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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-关于机器学习的详细数据已经呈现。根据消息来源来自丹麦林格比的研究表明,“本文提出了通过波浪浮标类比来估计海况的三种方法的评估,其中测量的船舶响应被处理。这三种方法都单独依赖机器学习,但输出不同;方法1提供体参数,方法2产生点波谱和波向,而方法3给出了非参数形式的三维波谱。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Lyngby, Denmark, by NewsRx c orrespondents, research stated, “This paper presents an assessment of three meth ods used for sea state estimation via the wave buoy analogy, where measured ship responsesare processed. The three methods all rely on Machine Learning exclusi vely but they have different output;Method 1 provides bulk parameters, Method 2 yields a point wave spectrum and the wave direction, whileMethod 3 gives the d irectional wave spectrum in non-parametric form.”

Key words

Lyngby/Denmark/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Technical University of Denmark (DTU)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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