New Machine Learning Findings from Chongqing University Published (Proposing Opt imized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites)

Robotics & Machine Learning Daily News2024，Issue(Oct.25) ：73-73.

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New Machine Learning Findings from Chongqing University Published (Proposing Opt imized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Chongqing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “This paper explores advanced machine learning approaches to enhance the prediction accuracy of compressive strength (CoS) in geopolymer composites (GePC).”

Key words

Chongqing University/Chongqing/People’ s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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