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Iluore, Kenneth, Lu, Jianyong (2022) Long short-term memory and gated recurrent neural networks to predict the ionospheric vertical total electron content. Advances in Space Research, 70 (3) 652-665 doi:10.1016/j.asr.2022.04.066

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Reference TypeJournal (article/letter/editorial)
TitleLong short-term memory and gated recurrent neural networks to predict the ionospheric vertical total electron content
JournalAdvances in Space Research
AuthorsIluore, KennethAuthor
Lu, JianyongAuthor
Year2022 (August)Volume70
Issue3
PublisherElsevier BV
DOIdoi:10.1016/j.asr.2022.04.066Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15360560Long-form Identifiermindat:1:5:15360560:6
GUID0
Full ReferenceIluore, Kenneth, Lu, Jianyong (2022) Long short-term memory and gated recurrent neural networks to predict the ionospheric vertical total electron content. Advances in Space Research, 70 (3) 652-665 doi:10.1016/j.asr.2022.04.066
Plain TextIluore, Kenneth, Lu, Jianyong (2022) Long short-term memory and gated recurrent neural networks to predict the ionospheric vertical total electron content. Advances in Space Research, 70 (3) 652-665 doi:10.1016/j.asr.2022.04.066
In(2022, August) Advances in Space Research Vol. 70 (3) Elsevier BV

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