Robotics & Machine Learning Daily News2024,Issue(Nov.28) :131-132.

New Machine Learning Study Findings Reported from University of Wurzburg (Model- Based Sequential Design of Experiments with Machine Learning for Aerospace Syste ms)

美国加州大学机器学习研究新发现Wurzburg(基于模型的连续实验设计航空航天系统的机器学习

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :131-132.

New Machine Learning Study Findings Reported from University of Wurzburg (Model- Based Sequential Design of Experiments with Machine Learning for Aerospace Syste ms)

美国加州大学机器学习研究新发现Wurzburg(基于模型的连续实验设计航空航天系统的机器学习

扫码查看

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-关于人工智能的新研究成果已经发表。据新闻报道NewsRx记者从德国Wurzbur G发回的报道,研究称,“传统”在处理复杂航天系统时,实验设计方法往往面临较大的挑战这种系统的维度和非线性行为,导致非最优实验设计。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting originating from Wurzbur g, Germany, by NewsRx correspondents, research stated, “Traditionalexperimental design methods often face challenges in handling complex aerospace systems due to the highdimensionality and nonlinear behavior of such systems, resulting in nonoptimal experimental designs.”

Key words

University of Wurzburg/Wurzburg/German y/Europe/Cyborgs/Emerging Technologies/Machine Learning/Reinforcement Learn ing

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文