Robotics & Machine Learning Daily News2024,Issue(Oct.7) :123-124.

Study Findings on Machine Learning Described by Researchers at Technical Univers ity Dresden (TU Dresden) (Assessment of hybrid machine learning models for non-l inear system identification of fatigue test rigs)

Robotics & Machine Learning Daily News2024,Issue(Oct.7) :123-124.

Study Findings on Machine Learning Described by Researchers at Technical Univers ity Dresden (TU Dresden) (Assessment of hybrid machine learning models for non-l inear system identification of fatigue test rigs)

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Abstract

Data detailed on artificial intelligen ce have been presented. According to news reporting from Dresden, Germany, by Ne wsRx journalists, research stated, "The prediction of system responses for a giv en fatigue test bench drive signal is a challenging problem, since highly dynami c loads from measurement campaigns must be reproduced accurately." Financial supporters for this research include European Regional Development Fun d.

Key words

Technical University Dresden (TU Dresden )/Dresden/Germany/Europe/Cyborgs/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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