Robotics & Machine Learning Daily News2024,Issue(Apr.9) :108-109.

New Machine Learning Data Have Been Reported by Investigators at Chinese Academy of Sciences (Parametric Analysis of Co2 Hydrogenation Via Fischer-tropsch Synth esis: a Review Based On Machine Learning for Quantitative Assessment)

Robotics & Machine Learning Daily News2024,Issue(Apr.9) :108-109.

New Machine Learning Data Have Been Reported by Investigators at Chinese Academy of Sciences (Parametric Analysis of Co2 Hydrogenation Via Fischer-tropsch Synth esis: a Review Based On Machine Learning for Quantitative Assessment)

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Abstract

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 from Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “This reviewfocuses on t he parametric impacts upon conversion and selectivity during CO2 hydrogenation v ia Fischer-Tropsch (FT) synthesis using iron-based catalyst to provide quantitat ive evaluation. Using all collecteddata from reported literatures as training d ataset via artificial neural networks (ANNs) in TensorFlow,three categorized pa rameters (namely: operational, catalyst informatic and mass transfer) were deplo yedto assess their impacts upon conversions (CO2) and selectivity.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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