Robotics & Machine Learning Daily News2024,Issue(MAY.17) :6-7.

New Findings Reported from Wuhan University Describe Advances in Machine Learnin g (Machine Learning Based Modeling of Thermospheric Mass Density)

Robotics & Machine Learning Daily News2024,Issue(MAY.17) :6-7.

New Findings Reported from Wuhan University Describe Advances in Machine Learnin g (Machine Learning Based Modeling of Thermospheric Mass Density)

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Abstract

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.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Wuhan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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