Robotics & Machine Learning Daily News2024,Issue(Aug.5) :93-94.

New Findings from Peter the Great St. Petersburg Polytechnic University in the A rea of Machine Learning Reported (Developing Reference-based Correlations for Te mperature Distribution In Vver Reactor Using Gene Expression Programming and … )

Robotics & Machine Learning Daily News2024,Issue(Aug.5) :93-94.

New Findings from Peter the Great St. Petersburg Polytechnic University in the A rea of Machine Learning Reported (Developing Reference-based Correlations for Te mperature Distribution In Vver Reactor Using Gene Expression Programming and … )

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting from St. Petersburg, Russia, by NewsRx journalists, research stated, “Temperature distributionin dif ferent channels of a light-water nuclear reactor is essential for Multiphysics c oupling approaches incore calculation. Machine learning algorithms trained by w ell-structured datasets can be applied for theprediction of temperature profile s in different components of the core including coolant, clad and fuel.”Financial support for this research came from Ministry of Science and Higher Edu cation of the RussianFederation.

Key words

St. Petersburg/Russia/Cyborgs/Emergin g Technologies/Genetics/Machine Learning/Peter the Great St. Petersburg Polyt echnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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