Robotics & Machine Learning Daily News2024,Issue(Apr.16) :37-38.

New Machine Learning Findings from University of Science and Technology Beijing Described (Enhancing Pyrolysis Process Monitoring and Prediction for Biomass: a Machine Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Apr.16) :37-38.

New Machine Learning Findings from University of Science and Technology Beijing Described (Enhancing Pyrolysis Process Monitoring and Prediction for Biomass: a Machine Learning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news originatingfrom Beijing, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Biomass pyrolysispresents a viab le solution to address the increasing global energy demand, and substantial effo rts havebeen devoted worldwide to monitoring the conversion process through the rmogravimetric experiments. Inthis study, the machine learning (ML) algorithm w as employed to simulate and predict the temperaturecorresponding to specific co nversion degrees (T alpha) by utilizing the compositional properties of thefeed stock and heating rate as input variables.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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