Paper Abstract and Keywords |
Presentation |
2020-12-18 15:40
Time-delayed LSTM for historical time series Prediction Rin Adachi, Jun Rokui (Univ of Shizuoka) NC2020-30 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The research which applies machine learning to the social time series prediction is actively carried out. Among them, many methods are Long Short Term Memory(LSTM), which are a kind of Recurrent Neural Network. We propose a framework to perform social time series prediction by aggregating several social time series data using regression analysis and entering it into a LSTM. LSTM stores the long-term information by the memory cell, but the short-term information is not noticed. In this research, we propose a Recurrent Neural Network architecture for modeling short-term information by delaying historical time-series information. In the verification test, it was confirmed experimentally that the good result was obtained in comparison with LSTM by applying the proposed method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Time Series Prediction / Long Short Term Memory / LSTM / Historical Time Series / NeuralNetwork / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 302, NC2020-30, pp. 13-18, Dec. 2020. |
Paper # |
NC2020-30 |
Date of Issue |
2020-12-11 (NC) |
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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NC2020-30 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2020-12-18 - 2020-12-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2020-12-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Time-delayed LSTM for historical time series Prediction |
Sub Title (in English) |
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Keyword(1) |
Time Series Prediction |
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Long Short Term Memory |
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LSTM |
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Historical Time Series |
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NeuralNetwork |
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1st Author's Name |
Rin Adachi |
1st Author's Affiliation |
University of Shizuoka (Univ of Shizuoka) |
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Jun Rokui |
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University of Shizuoka (Univ of Shizuoka) |
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Speaker |
Author-1 |
Date Time |
2020-12-18 15:40:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2020-30 |
Volume (vol) |
vol.120 |
Number (no) |
no.302 |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2020-12-11 (NC) |
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