首页|Recent Research from Jamia Millia Islamia Highlight Findings in Machine Learning (Comparative Studies of Different Machine Learning Algorithms In Predicting the Compressive Strength of Geopolymer Concrete)
Recent Research from Jamia Millia Islamia Highlight Findings in Machine Learning (Comparative Studies of Different Machine Learning Algorithms In Predicting the Compressive Strength of Geopolymer Concrete)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of New Delhi,India, by NewsRx editors, research stated, “The objective of this work is to determine the compressivestrength of geopolymer concrete utilizing four distinct machine learning approaches. These techniques areknown as gradient boosting machine (GBM), generalized linear model (GLM), extremely randomized trees(XRT), and deep learning (DL).”
New DelhiIndiaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningJamia Millia Islamia
NETL
NSTL
