Robotics & Machine Learning Daily News2024,Issue(MAY.10) :19-20.

Recent Findings from University of California San Diego (UCSD) Provides New Insi ghts into Machine Learning (Lagrangian Operator Inference Enhanced With Structur e-preserving Machine Learning for Nonintrusive Model Reduction of Mechanical Sys tems)

Robotics & Machine Learning Daily News2024,Issue(MAY.10) :19-20.

Recent Findings from University of California San Diego (UCSD) Provides New Insi ghts into Machine Learning (Lagrangian Operator Inference Enhanced With Structur e-preserving Machine Learning for Nonintrusive Model Reduction of Mechanical Sys tems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on Machine Learning are pre sented in a new report. According to news reporting from La Jolla, California, b y NewsRx journalists, research stated, “Complex mechanical systems often exhibit strongly nonlinear behavior due to the presence of nonlinearities in the energy dissipation mechanisms, material constitutive relationships, or geometric/conne ctivity mechanics. Numerical modeling of these systems leads to nonlinear full - order models that possess an underlying Lagrangian structure.”

Key words

La Jolla/California/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Univer sity of California San Diego (UCSD)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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