Ionosphere time series modeling using adaptive neuro-fuzzy inference system and principal component...
Ionosphere time series modeling using adaptive neuro-fuzzy inference system and principal component analysis
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
The total electron content (TEC) is one of the most important parameters for studying the behavior of the ionosphere. The global ionosphere maps (GIMs) can be used to study the TEC time series variations. The time resolution of the GIM-TEC is 2 h, whereas the frequency of the ionospheric temporal behavior can be less than 2 h. To solve this problem...
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Full title
Ionosphere time series modeling using adaptive neuro-fuzzy inference system and principal component analysis
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TN_cdi_proquest_journals_2370295240
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2370295240
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ISSN
1080-5370
E-ISSN
1521-1886
DOI
10.1007/s10291-020-0964-6
