首页|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 … )
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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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.
St. PetersburgRussiaCyborgsEmergin g TechnologiesGeneticsMachine LearningPeter the Great St. Petersburg Polyt echnic University
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