Robotics & Machine Learning Daily News2024,Issue(Aug.14) :35-36.

Studies from University of Science and Technology China Add New Findings in the Area of Machine Learning (Interpretable Machine Learning Model for Activation En ergy Prediction Based On Biomass Properties)

Robotics & Machine Learning Daily News2024,Issue(Aug.14) :35-36.

Studies from University of Science and Technology China Add New Findings in the Area of Machine Learning (Interpretable Machine Learning Model for Activation En ergy Prediction Based On Biomass Properties)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Hefei, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“A thorough un derstanding of pyrolysis kinetics for biomass is crucial for the process design, feasibilityassessment, and scale-up in industrial scenarios. To reduce the tim e and economic cost invested inobtaining experimental kinetic data by performin g the thermogravimetric analysis, a data-driven machinelearning method was prop osed in the present work.”

Key words

Hefei/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/University of Science and Tec hnology China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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