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Paper Abstract and Keywords
Presentation 2026-05-29 11:25
Predicting EMI Filter Attenuation Spectra with Limited Training Data Using Output-Space Optimization and Time-Series Model
Masahiro Yoshida, Ryo Maekawa, Koichi Takeuchi, Yoshitaka Toyota (Okayama Univ.) EMCJ2026-11
Abstract (in Japanese) (See Japanese page) 
(in English) Surrogate models for EMI filter design often suffer from limited training data. To address this issue, we optimized design-parameter spacing, using Bayesian optimization (BO), to equalize coverage in the attenuation-spectrum output space and adopted a Bidirectional Long Short-Term Memory (Bi-LSTM) model. These approaches significantly improved prediction accuracy, reducing the average and maximum mean squared errors (MSEs) by 91% and 96% for differential mode (DM) attenuation spectra, respectively. Besides, the average and maximum MSEs by 91% and 89% for common mode (CM) attenuation spectra, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Bi-LSTM / EMI filter design / Prediction accuracy / Surrogate model / Training data / Optimization / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 41, EMCJ2026-11, pp. 51-56, May 2026.
Paper # EMCJ2026-11 
Date of Issue 2026-05-21 (EMCJ) 
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 EMCJ2026-11

Conference Information
Committee EMCJ IEE-SPC IEE-EMC  
Conference Date 2026-05-28 - 2026-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMCJ 
Conference Code 2026-05-EMCJ-SPC-EMC 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predicting EMI Filter Attenuation Spectra with Limited Training Data Using Output-Space Optimization and Time-Series Model 
Sub Title (in English)  
Keyword(1) Bi-LSTM  
Keyword(2) EMI filter design  
Keyword(3) Prediction accuracy  
Keyword(4) Surrogate model  
Keyword(5) Training data  
Keyword(6) Optimization  
Keyword(7)  
Keyword(8)  
1st Author's Name Masahiro Yoshida  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Ryo Maekawa  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Koichi Takeuchi  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Yoshitaka Toyota  
4th Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2026-05-29 11:25:00 
Presentation Time 25 minutes 
Registration for EMCJ 
Paper # EMCJ2026-11 
Volume (vol) vol.126 
Number (no) no.41 
Page pp.51-56 
#Pages 6 
Date of Issue 2026-05-21 (EMCJ) 

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