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Paper Abstract and Keywords
Presentation 2019-07-04 09:15
A Study of Parameter Control Method Based on QoE by Machine learning
Hiroto Kurosawa, Takuya Shindou, Takefumi Hiraguri (NIT) CS2019-26
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, machine learning such as deep learning has attracted attention. Various applications have been proposed and studied in the wireless communication field. Therefore, in the objective communication quality estimation, we consider a method that uses evaluation parameters specific to wireless communication such as propagation error, interference, transmission, throughput, packet loss, etc. for machine learning. In this paper, we focus especially on weight adjustment of neural networks. Conventionally, error back-propagation method etc. are used to adjust this weight, but the performance when using stochastic optimization method is confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Differential Evolution / QoE / Machine Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 101, CS2019-26, pp. 55-56, July 2019.
Paper # CS2019-26 
Date of Issue 2019-06-27 (CS) 
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 CS2019-26

Conference Information
Committee CS  
Conference Date 2019-07-04 - 2019-07-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Amami City Social Welfare Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc. 
Paper Information
Registration To CS 
Conference Code 2019-07-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Parameter Control Method Based on QoE by Machine learning 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Differential Evolution  
Keyword(3) QoE  
Keyword(4) Machine Learning  
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1st Author's Name Hiroto Kurosawa  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Takuya Shindou  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
3rd Author's Name Takefumi Hiraguri  
3rd Author's Affiliation Nippon Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2019-07-04 09:15:00 
Presentation Time 15 minutes 
Registration for CS 
Paper # CS2019-26 
Volume (vol) vol.119 
Number (no) no.101 
Page pp.55-56 
#Pages
Date of Issue 2019-06-27 (CS) 


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