首页|New Findings Reported from Wuhan University Describe Advances in Machine Learnin g (Machine Learning Based Modeling of Thermospheric Mass Density)
New Findings Reported from Wuhan University Describe Advances in Machine Learnin g (Machine Learning Based Modeling of Thermospheric Mass Density)
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 Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Wuhan, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “In this stu dy, we propose a machine learning based approach to construct an empirical model of thermospheric mass densities, based on the MultiLayer Perceptron and bi-dire ctional Long Short- Term Memory for ensemble learning model (MBiLE). The MBiLE mo del was trained by using only the thermospheric mass density from Swarm C satell ite at similar to 450 km altitude.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University
NETL
NSTL
