Study Findings on Machine Learning Described by a Researcher at School of Archit ectural Engineering (Hyper ensembled extreme gradient boosting techniques via no vel triple algorithms to appraise the hardened properties of modern ternary admi xed ...)

Robotics & Machine Learning Daily News2024，Issue(Mar.15) ：43-44.

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Study Findings on Machine Learning Described by a Researcher at School of Archit ectural Engineering (Hyper ensembled extreme gradient boosting techniques via no vel triple algorithms to appraise the hardened properties of modern ternary admi xed ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news originating from Shanxi, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Mechanical parameters used in man y design codes can be achieved by expensive and time-consuming experiments or by nondestructive approaches such as estimative modelling. This investigation pro posed Extreme Gradient Boost (XGB) for estimating the slump (SL) and compressive strength (CS) of high-performance concrete (HPC).”

Key words

School of Architectural Engineering/Sha nxi/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologie s/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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