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Paper Abstract and Keywords
Presentation 2025-03-02 09:50
Acoustic Wave Propagation Simulation with Wave Equation-based Neural Networks
Shota Okubo, Toshiharu Horiuchi (KDDI Research, Inc.) EA2024-79 SIP2024-114 SP2024-20
Abstract (in Japanese) (See Japanese page) 
(in English) With advancements in computational resources, numerical simulations of sound fields, including the audible frequency range, have become highly precise. Recently, Physics-Informed Neural Networks (PINNs), which integrate physical laws into machine learning models, have gained attention for sound field simulations. By combining observational data with governing equations, PINNs enable high-accuracy wave propagation analysis without discretizing the equations. This study incorporated wave equations into PINNs for simulating a free-field environment using CE-FDTD-based data as training. Results show that PINNs reduce numerical dispersion errors and achieve superior accuracy, particularly outside the training range, surpassing both CE-FDTD and conventional Data-Driven Neural Networks (DDNNs).
Keyword (in Japanese) (See Japanese page) 
(in English) Sound Field Simulation / Physics-Informed Neural Networks (PINNs) / Finite Difference Time Domain (FDTD) method / Wave Equations / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 389, EA2024-79, pp. 13-18, March 2025.
Paper # EA2024-79 
Date of Issue 2025-02-23 (EA, SIP, SP) 
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 EA2024-79 SIP2024-114 SP2024-20

Conference Information
Committee EA SIP SP IPSJ-SLP  
Conference Date 2025-03-02 - 2025-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2025-03-EA-SIP-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acoustic Wave Propagation Simulation with Wave Equation-based Neural Networks 
Sub Title (in English)  
Keyword(1) Sound Field Simulation  
Keyword(2) Physics-Informed Neural Networks (PINNs)  
Keyword(3) Finite Difference Time Domain (FDTD) method  
Keyword(4) Wave Equations  
Keyword(5)  
Keyword(6)  
Keyword(7)  
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1st Author's Name Shota Okubo  
1st Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
2nd Author's Name Toshiharu Horiuchi  
2nd Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
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Speaker Author-1 
Date Time 2025-03-02 09:50:00 
Presentation Time 20 minutes 
Registration for EA 
Paper # EA2024-79, SIP2024-114, SP2024-20 
Volume (vol) vol.124 
Number (no) no.389(EA), no.390(SIP), no.391(SP) 
Page pp.13-18 
#Pages 6 
Date of Issue 2025-02-23 (EA, SIP, SP) 

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