首页|New Machine Learning Findings from Hefei University of Technology Outlined (An A uto-configurable Machine Learning Framework To Optimize and Predict Catalysts fo r Co2 To Light Olefins Process)
New Machine Learning Findings from Hefei University of Technology Outlined (An A uto-configurable Machine Learning Framework To Optimize and Predict Catalysts fo r Co2 To Light Olefins Process)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Hefei, People’s Republic of Ch ina, by NewsRx journalists, research stated, “This study proposed an auto-config urable machine learning framework based on the differential evolution algorithm (AutoML-DE) driven by hybrid data for the screening and discovery of promising C O2 to light olefins (CO2TLO) catalysts candidates. The hybrid dataset comprises 532 experimental data from the literature and 296 simulation data.”
HefeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHefei University of Technology
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