Prediction of Global Ionosphere TEC base on Deep Learning

Autor:	Sheng Hong, Zhou Chen, JinSong Wang, Wenti Liao, Xiaohua Deng, Haimeng Li
Rok vydání:	2021
Předmět:	business.industry TEC Deep learning Base (topology) Geodesy Physics::Geophysics GNSS applications Ionospheric total electron content Physics::Space Physics Global Positioning System Satellite Artificial intelligence Ionosphere business Physics::Atmospheric and Oceanic Physics Geology
DOI:	10.1002/essoar.10507576.1
Popis:	Ionospheric Total Electron Content (TEC) prediction has important reference significance for the accuracy of global navigation satellite systems (GNSS) based global positioning system, satellite co...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06a49e19b62d4700c319ab7af8eec6bc https://doi.org/10.1002/essoar.10507576.1 Zobrazit plný text záznamu