Robotics & Machine Learning Daily News2024,Issue(Jun.11) :96-97.

Researchers at National University of Singapore Publish New Study Findings on Ma chine Learning (Robust reduced-order machine learning modeling of high-dimension al nonlinear processes using noisy data)

新加坡国立大学的研究人员发表了关于Ma Chine Learning(使用噪声数据的高维非线性过程的鲁棒降阶机器学习建模)的新研究结果

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :96-97.

Researchers at National University of Singapore Publish New Study Findings on Ma chine Learning (Robust reduced-order machine learning modeling of high-dimension al nonlinear processes using noisy data)

新加坡国立大学的研究人员发表了关于Ma Chine Learning(使用噪声数据的高维非线性过程的鲁棒降阶机器学习建模)的新研究结果

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摘要

由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于人工智能的最新研究结果已经发表。根据NewsRx记者从新加坡国立大学发回的新闻报道,研究表明,"基于Autoen编码的降阶机器学习模型已经被开发出来,用于高维非线性化学过程的建模和预测控制,如反应扩散过程的离散化"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Nat ional University of Singapore by NewsRx correspondents, research stated, “Autoen coder-based reduced-order machine learning models have been developed for modeli ng and predictive control of nonlinear chemical processes with high dimensionality such as discretization of reaction-diffusion processes.”

Key words

National University of Singapore/Cyborg s/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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