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Paper Abstract and Keywords
Presentation 2024-03-13 13:55
Improvement of the Inception Module in TimesNet for Time Series Forecasting
Sayaka Tanaka, Masato Shirai (Shimane Univ.) MSS2023-77 NLP2023-129
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, time series forecasting has been actively researched. Time series prediction uses the continuity and periodicity inherent in time series data. However, since real data exhibits complex movements, it is difficult to model accordingly. Therefore, Wu et al. proposed TimesNet, and this research focuses on TimesNet. Using multiple filters using the Inception Module can be more expressive than using a single type of filter. In this study, we propose a method to change the configuration of Inception Module in order to improve prediction accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) time series prediction / machine learning / continuity / periodicity / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 427, MSS2023-77, pp. 35-37, March 2024.
Paper # MSS2023-77 
Date of Issue 2024-03-06 (MSS, NLP) 
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)
Download PDF MSS2023-77 NLP2023-129

Conference Information
Committee NLP MSS  
Conference Date 2024-03-13 - 2024-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) MSS, NLP, etc. 
Paper Information
Registration To MSS 
Conference Code 2024-03-NLP-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of the Inception Module in TimesNet for Time Series Forecasting 
Sub Title (in English)  
Keyword(1) time series prediction  
Keyword(2) machine learning  
Keyword(3) continuity  
Keyword(4) periodicity  
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1st Author's Name Sayaka Tanaka  
1st Author's Affiliation Shimane University (Shimane Univ.)
2nd Author's Name Masato Shirai  
2nd Author's Affiliation Shimane University (Shimane Univ.)
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Speaker Author-1 
Date Time 2024-03-13 13:55:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # MSS2023-77, NLP2023-129 
Volume (vol) vol.123 
Number (no) no.427(MSS), no.428(NLP) 
Page pp.35-37 
#Pages 3 
Date of Issue 2024-03-06 (MSS, NLP) 

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