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Using recurrent neural networks trained by the Kalman filter to produce geomagnetic secular variation forecasts for the IGRF-14 (abs.)
Sho Sato, Hiroaki Toh
itemdescription
TitleUsing recurrent neural networks trained by the Kalman filter to produce geomagnetic secular variation forecasts for the IGRF-14 (abs.)
AuthorsSho Sato, Hiroaki Toh
Data nameMeeting Abstracts, Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS) (online)
Volume156
PageR004-01
Year2024
PublisherSociety of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS)
LanguageJA, EN
GEOLIS URLhttps://darc.gsj.jp/archives/detail?cls=geolis&pkey=300040749
Link
@idhttps://gbank.gsj.jp/ld/resource/geolis/300040749