Presentation 2022-01-19
Anomaly Detection Method by Deviation Estimation Using Recurrent Neural Network
Takuto Kaeriyama, Shinichi Kimura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SANE2021-89
Date of Issue 2022-01-11 (SANE)

Conference Information
Committee SANE
Conference Date 2022/1/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English) ENRI
Topics (in Japanese) (See Japanese page)
Topics (in English) Navigation, air traffic control, and general
Chair Toshifumi Moriyama(Nagasaki Univ.)
Vice Chair Makoto Tanaka(Tokai Univ.) / Takeshi Amishima(Mitsubishi Electric)
Secretary Makoto Tanaka(Univ. of Tokyo) / Takeshi Amishima(ENRI)
Assistant Takayuki Kitamura(Mitsubishi Electric)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Anomaly Detection Method by Deviation Estimation Using Recurrent Neural Network
Sub Title (in English)
Keyword(1)
1st Author's Name Takuto Kaeriyama
1st Author's Affiliation Tokyo University of Science(TUS)
2nd Author's Name Shinichi Kimura
2nd Author's Affiliation Tokyo University of Science(TUS)
Date 2022-01-19
Paper # SANE2021-89
Volume (vol) vol.121
Number (no) SANE-323
Page pp.pp.37-42(SANE),
#Pages 6
Date of Issue 2022-01-11 (SANE)