Robotics & Machine Learning Daily News2024,Issue(MAY.2) :83-84.

Findings from University of Colorado Update Knowledge of Machine Learning (An Au tomated Machine-learning-assisted Stochasticfuzzy Multi-criteria Decision Makin g Tool: Addressing Record-torecord Variability In Seismic Design)

Robotics & Machine Learning Daily News2024,Issue(MAY.2) :83-84.

Findings from University of Colorado Update Knowledge of Machine Learning (An Au tomated Machine-learning-assisted Stochasticfuzzy Multi-criteria Decision Makin g Tool: Addressing Record-torecord Variability In Seismic Design)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Boulder, Colorado, b y NewsRx correspondents, research stated, “While uncertaintyquantification (UQ) has served a prominent role in ensuring the safety of dynamical engineering sys tems,the lack of an integrated approach to handle the aleatory nature of ground motion records, a.k.a., record-to -record (RTR) variability, remains a bottlen eck in seismic design. This paper presents a novel approachwith two key feature s.”

Key words

Boulder/Colorado/United States/North and Central America/Cyborgs/Emerging Technologies/Engineering/Machine Learni ng/University of Colorado

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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