Robotics & Machine Learning Daily News2024,Issue(Mar.21) :85-86.

Reports Outline Applied Mechanics and Engineering Study Findings from Northweste rn Polytechnic University (Emr-ssm: Synchronous Surrogate Modeling-based Enhance d Moving Regression Method for Multi-response Prediction and Reliability Evaluat ion)

Robotics & Machine Learning Daily News2024,Issue(Mar.21) :85-86.

Reports Outline Applied Mechanics and Engineering Study Findings from Northweste rn Polytechnic University (Emr-ssm: Synchronous Surrogate Modeling-based Enhance d Moving Regression Method for Multi-response Prediction and Reliability Evaluat ion)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on En gineering - Applied Mechanics and Engineering. According to news reporting out o f Xi’an, People’s Republic of China, by NewsRx editors, research stated, “To ach ieve multi-response prediction and reliability evaluation of complex structural system, a high efficient and precision strategy, namely synchronous surrogate mo deling-based enhanced moving regression (EMR-SSM, short for) method, is proposed based on synchronous surrogate modeling (SSM) approach and enhanced moving regr ession (EMR) framework.”

Key words

Xi’an/People’s Republic of China/Asia/Applied Mechanics and Engineering/Engineering/Northwestern Polytechnic Univer sity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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