Robotics & Machine Learning Daily News2024,Issue(Aug.9) :79-79.

Beijing University of Chemical Technology Reports Findings in Machine Learning ( Machine learning-aided unveiling the relationship between chemical pretreatment and methane production of lignocellulosic waste)

Robotics & Machine Learning Daily News2024,Issue(Aug.9) :79-79.

Beijing University of Chemical Technology Reports Findings in Machine Learning ( Machine learning-aided unveiling the relationship between chemical pretreatment and methane production of lignocellulosic waste)

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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 from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Chemicalpretreatment is a common method to enhance the cumulative methane yield (CMY) of lignocellulosic waste(LW) but its effectiveness is subject to various factors, and accurate est imation of methane production ofpretreated LW remains a challenge. Here, based on 254 LW samples, a machine learning (ML) model topredict the methane producti on performance of pretreated feedstock was constructed using two automatedML pl atforms (tree-based pipeline optimization tool and neural network intelligence). ”

Key words

Beijing/People’s Republic of China/Asi a/Alkanes/Cyborgs/Emerging Technologies/Machine Learning/Methane

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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