Robotics & Machine Learning Daily News2024,Issue(Jun.28) :101-102.

Reports from Shanghai Jiao Tong University Describe Recent Advances in Machine L earning (Flight parameter prediction for highdynamic Hypersonic vehicle system based on pre-training machine learning model)

上海交通大学的报告描述了机器学习的最新进展(基于预训练机器学习模型的高动态高超音速飞行器系统飞行参数预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :101-102.

Reports from Shanghai Jiao Tong University Describe Recent Advances in Machine L earning (Flight parameter prediction for highdynamic Hypersonic vehicle system based on pre-training machine learning model)

上海交通大学的报告描述了机器学习的最新进展(基于预训练机器学习模型的高动态高超音速飞行器系统飞行参数预测)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-调查人员讨论人工智能的新发现。根据NewsRx编辑从上海发回的新闻报道,研究表明,"鉴于恶劣的运行环境,以高马赫数运行的高超音速飞行器需要准确的飞行和健康状态的先进信息"。国家自然科学基金资助本研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Shanghai, People’s R epublic of China, by NewsRx editors, research stated, “Given the harsh operating circumstances, hypersonic vehicles operating at high Mach number demand accurat e advanced information of the flight and health state.” Financial supporters for this research include National Natural Science Foundati on of China.

Key words

Shanghai Jiao Tong University/Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learn ing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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