Robotics & Machine Learning Daily News2024,Issue(Jun.3) :78-79.

Findings from Georgia Technical Research Institute Provides New Data about Machi ne Learning (Identifying Cislunar Orbital Families Via Machine Learning On Light Curves)

佐治亚技术研究所的发现提供了关于机器学习的新数据(通过光曲线上的机器学习识别西卢纳轨道族)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :78-79.

Findings from Georgia Technical Research Institute Provides New Data about Machi ne Learning (Identifying Cislunar Orbital Families Via Machine Learning On Light Curves)

佐治亚技术研究所的发现提供了关于机器学习的新数据(通过光曲线上的机器学习识别西卢纳轨道族)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者在佐治亚州亚特兰大市的新闻报道,研究表明:“由于必须利用引力模型的变化,目前在近地轨道区域执行初始Orbi T确定(IOD)的方法不能直接扩展到西卢那空间。对于西卢那轨道,月球的引力影响需要用三体动力学来描述轨道运动。”这项研究的资助者包括佐治亚州技术研究所、GTRI的独立研究和发展(IRAD)基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Atlanta, Georgia, by NewsRx journalists, research stated, “Current methods of performing Initial Orbi t Determination (IOD) in near-earth orbital regions cannot be directly extended to cislunar space due to changes in gravitational models that must be utilized. For the case of cislunar orbits, the Moon’s gravitational influence necessitates that orbital motions be described by three-body dynamics.” Funders for this research include Research Institute, Georgia Institute of Techn ology, GTRI’s Independent Research and Development (IRAD) funds.

Key words

Atlanta/Georgia/United States/North a nd Central America/Cyborgs/Emerging Technologies/Machine Learning/Georgia Te chnical Research Institute

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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