Paper Abstract and Keywords |
Presentation |
2021-01-29 09:30
A study of stock price prediction method using LSTM Neural Network Kousuke Kato, Fuya Kaneda, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-57 ICTSSL2020-42 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
LSTM / Julia / Flux / Stock price forecast / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 346, CAS2020-57, pp. 101-103, Jan. 2021. |
Paper # |
CAS2020-57 |
Date of Issue |
2021-01-21 (CAS, ICTSSL) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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CAS2020-57 ICTSSL2020-42 |
Conference Information |
Committee |
CAS ICTSSL |
Conference Date |
2021-01-28 - 2021-01-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Students session, General session |
Paper Information |
Registration To |
CAS |
Conference Code |
2021-01-CAS-ICTSSL |
Language |
Japanese |
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) |
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Keyword(1) |
LSTM |
Keyword(2) |
Julia |
Keyword(3) |
Flux |
Keyword(4) |
Stock price forecast |
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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) |
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Speaker |
Author-1 |
Date Time |
2021-01-29 09:30:00 |
Presentation Time |
20 minutes |
Registration for |
CAS |
Paper # |
CAS2020-57, ICTSSL2020-42 |
Volume (vol) |
vol.120 |
Number (no) |
no.346(CAS), no.347(ICTSSL) |
Page |
pp.101-103 |
#Pages |
3 |
Date of Issue |
2021-01-21 (CAS, ICTSSL) |
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