首页|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 ...)
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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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).”
School of Architectural EngineeringSha nxiPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging Technologie sMachine Learning
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