Robotics & Machine Learning Daily News2024,Issue(Jul.16) :104-104.

Civil Engineering Department Researcher Discusses Research in Machine Learning ( Modeling the strength parameters of agro wastederived geopolymer concrete using advanced machine intelligence techniques)

Robotics & Machine Learning Daily News2024,Issue(Jul.16) :104-104.

Civil Engineering Department Researcher Discusses Research in Machine Learning ( Modeling the strength parameters of agro wastederived geopolymer concrete using advanced machine intelligence techniques)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting originating from the Civil E ngineering Department by NewsRx correspondents, research stated,“The mechanical strength of geopolymer concrete incorporating corncob ash and slag (SCA-GPC) wa sestimated by means of three distinct AI methods: a support vector machine (SVM ), two ensemble methodscalled bagging regressor (BR), and random forest regress or (RFR).”

Key words

Civil Engineering Department/Emerging T echnologies/Machine Intelligence/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文