Robotics & Machine Learning Daily News2024,Issue(Apr.12) :120-121.

Investigators from Beijing University of Technology Have Reported New Data on Ma chine Learning (Machine Learning Based Modeling for Predicting the Compressive S trength of Solid Waste Materialincorporated Magnesium Phosphate Cement)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :120-121.

Investigators from Beijing University of Technology Have Reported New Data on Ma chine Learning (Machine Learning Based Modeling for Predicting the Compressive S trength of Solid Waste Materialincorporated Magnesium Phosphate Cement)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Beijing, People’s Republic of China, by NewsRx editors, research stated, “In this study, a compressivestreng th prediction model for Magnesium Phosphate Cement containing solid waste materi als(SW-MPC) was developed using machine learning (ML) techniques. Firstly, a da tabase of SW-MPC compressive strength was established through the selection of s olid waste materials based on their chemicalcompositions.”

Key words

Beijing/People’s Republic of China/Asi a/Anions/Chemicals/Cyborgs/Emerging Technologies/Light Metals/Machine Lear ning/Magnesium/Magnesium Phosphate/Phosphates/Phosphoric Acids/Beijing Univ ersity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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