Presentation 2021-01-29
A study of stock price prediction method using LSTM Neural Network
Kousuke Kato, Fuya Kaneda, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report,we discuss how to build a Long Short-Term Memory Neural Network (LSTM) for Stock price forecasting, using Flux.First,we briefly explain about Julia language which is used in this study. Secondly,we introduce Long Short-Term Memory Neural Networks.Thirdly,we present a constructed LSTM model and the experimental results.Finally,we summarize the concluding remarks and the future research.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) LSTM / Julia / Flux / Stock price forecast
Paper # CAS2020-57,ICTSSL2020-42
Date of Issue 2021-01-21 (CAS, ICTSSL)

Conference Information
Committee CAS / ICTSSL
Conference Date 2021/1/28(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Students session, General session
Chair Yasuhiro Takashima(Univ. of Kitakyushu) / Hiroshi Tamura(Chuo Univ.)
Vice Chair Hiroki Sato(Sony LSI Design) / Koichi Gyoda(Shibaura Inst. of Tech.) / Munenari Inoguchi(Toyama Univ.)
Secretary Hiroki Sato(Yamanashi Univ.) / Koichi Gyoda(Sony LSI Design) / Munenari Inoguchi(Synspective)
Assistant Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Shunichi Yokoyama(NIED)

Paper Information
Registration To Technical Committee on Circuits and Systems / Technical Committee on Information and Communication Technologies for Safe and Secure Life
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study of stock price prediction method using LSTM Neural Network
Sub Title (in English)
Keyword(1) LSTM
Keyword(2) Julia
Keyword(3) Flux
Keyword(4) Stock price forecast
1st Author's Name Kousuke Kato
1st Author's Affiliation Shonan Institute of Technology(SIT)
2nd Author's Name Fuya Kaneda
2nd Author's Affiliation Shonan Institute of Technology(SIT)
3rd Author's Name Kazuya Ozawa
3rd Author's Affiliation Shonan Institute of Technology(SIT)
4th Author's Name Kaito Isogai
4th Author's Affiliation Shonan Institute of Technology(SIT)
5th Author's Name Hideaki Okazaki
5th Author's Affiliation Shonan Institute of Technology(SIT)
Date 2021-01-29
Paper # CAS2020-57,ICTSSL2020-42
Volume (vol) vol.120
Number (no) CAS-346,ICTSSL-347
Page pp.pp.101-103(CAS), pp.101-103(ICTSSL),
#Pages 3
Date of Issue 2021-01-21 (CAS, ICTSSL)