Presentation 2007-11-30
Forecast of high-energy electron flux at geosynchronous orbit using a neural network method
Shinichi WATARI, Masahiro TOKUMITSU, Kentarou KITAMURA, Yoshiteru ISHIDA,
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Abstract(in English) It is important for spacecraft operations to make a forecast of high-energy electron flux. Because enhancement of high-energy electron causes deep electrical charging. It is known that variation of high-energy electron flux has a good correlation with solar wind speed and north-south component of interplanetary magnetic field. Here we report the result of study on forecast of high-energy electron flux using neural network with solar wind parameters as its inputs.
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Keyword(in English) neural network / high-energy electron / electrical charging of spacecraft / space weather
Paper # SANE2007-83
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Conference Information
Committee SANE
Conference Date 2007/11/23(1days)
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Paper Information
Registration To Space, Aeronautical and Navigational Electronics (SANE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Forecast of high-energy electron flux at geosynchronous orbit using a neural network method
Sub Title (in English)
Keyword(1) neural network
Keyword(2) high-energy electron
Keyword(3) electrical charging of spacecraft
Keyword(4) space weather
1st Author's Name Shinichi WATARI
1st Author's Affiliation National Institute of Information and Communications Technology()
2nd Author's Name Masahiro TOKUMITSU
2nd Author's Affiliation Toyohashi University of Technology
3rd Author's Name Kentarou KITAMURA
3rd Author's Affiliation Tokuyama College of Tehcnology
4th Author's Name Yoshiteru ISHIDA
4th Author's Affiliation Toyohashi University of Technology
Date 2007-11-30
Paper # SANE2007-83
Volume (vol) vol.107
Number (no) 365
Page pp.pp.-
#Pages 6
Date of Issue