Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Using recurrent neural networks trained by the Kalman filter to produce geomagnetic secular variation forecasts for the IGRF-14 (abs.)

Authors=Sho Sato, Hiroaki Toh

Journal/Book_names=Meeting Abstracts, Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS) (online)

volume=156

pages=R004-01

Publish_year=2024

Publisher=Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS)

Language_of_Text=JA, EN

ID=300040749

@id=https://gbank.gsj.jp/ld/resource/geolis/300040749