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- W4220984923 abstract "Earth and Space Science Open Archive This is a preprint and has not been peer reviewed. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Investigation of the Relationship between Geomagnetic Activity and Solar Wind Parameters Based on A Novel Neural Network (Potential Learning)AuthorsRyozoKitajimaMotoharuNowadaiDRyotaroKamimuraSee all authors Ryozo KitajimaDepartment of Engineering, Tokyo Polytechnic University, 1583 Iiyama, Atsugi City, Kanagawa Prefecture 243-0297, Japan.view email addressThe email was not providedcopy email addressMotoharu NowadaiDCorresponding Author• Submitting AuthorShandong Provincial Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, Institute of Space Sciences, Shandong University, 180 Wen-Hua West Road, Weihai City, Shandong Province, 264209, People’s Republic of China.iDhttps://orcid.org/0000-0003-4849-3433view email addressThe email was not providedcopy email addressRyotaro KamimuraIT Education Center, Tokai University, 4-1-1 Kitakaname, Hiratsuka City, Kanagawa Prefecture 259-1292, Japan.view email addressThe email was not providedcopy email address" @default.
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- W4220984923 date "2022-03-31" @default.
- W4220984923 modified "2023-09-23" @default.
- W4220984923 title "Investigation of the Relationship between Geomagnetic Activity and Solar Wind Parameters Based on A Novel Neural Network (Potential Learning)" @default.
- W4220984923 doi "https://doi.org/10.1002/essoar.10510970.1" @default.
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