首页|Study Findings on Machine Learning Described by Researchers at Arts et Metiers I nstitute of Technology (A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings)
Study Findings on Machine Learning Described by Researchers at Arts et Metiers I nstitute of Technology (A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings)
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
Springer Nature
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from the Arts et M etiers Institute of Technology by NewsRx journalists, research stated, “The simu lation of magnetic bearings involves highly non-linear physics, with high depend ency on the input variation.”
Arts et Metiers Institute of TechnologyCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
Springer Nature
