首页|Studies from Zhejiang University of Technology Yield New Data on Machine Learnin g (Prediction of Catalytic Performance of Metal Oxide Catalysts for Alkyne Hydro genation Reaction Based On Machine Learning)
Studies from Zhejiang University of Technology Yield New Data on Machine Learnin g (Prediction of Catalytic Performance of Metal Oxide Catalysts for Alkyne Hydro genation Reaction Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Hangzhou, People’s R epublic of China, by NewsRx editors, research stated, “In the fieldof catalyst design, machine learning is gaining significant attention, especially in situati ons where datais limited. Facing this challenge, we have developed a neural net work model that enhances predictiveaccuracy through the careful selection of ca talyst descriptors and feature engineering, aiming to predictthe conversion rat e and selectivity of the acetylene semi-hydrogenation reaction.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University of Tec hnology
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