首页|New Findings on Machine Learning Described by Investigators at Huazhong Universi ty of Science and Technology (On Application of Machine Learning Techniques for Predicting the Bending and Buckling Behavior of Fgm Nanobeams)
New Findings on Machine Learning Described by Investigators at Huazhong Universi ty of Science and Technology (On Application of Machine Learning Techniques for Predicting the Bending and Buckling Behavior of Fgm Nanobeams)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Wuhan, People’s Republic of Ch ina, by NewsRx journalists, research stated, “The present article aimsto carry out a comparative study between various machine learning based algorithms, which can predictthe bending and buckling behavior of functionally graded (FG) nanob eams accurately. The algorithm hasbeen developed in the framework of two regres sion machine learning models namely, Gaussian ProcessRegression (GPR), and Rand om Forest (RF).”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHuazhong University of Scienc e and Technology
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