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Paper Abstract and Keywords
Presentation 2021-08-17 11:45
Approximation of Non-Linear Function for Hardware Implementation of Echo-State-Network
Amartuvshin Bayasgalan, Makoto Ikeda (UTokyo) SDM2021-32 ICD2021-3
Abstract (in Japanese) (See Japanese page) 
(in English) Reservoir computing (RC) is a machine-learning algorithm that can learn complex temporal signals while presenting a fast and easy training procedure. For practical applications of RC in edge computing, its hardware implementation must be considered for its computational time and resource on which design of the neuron has a critical impact. This work presents different approximation methods of a non-linear function of echo-state-network to obtain the optimal design for the hardware implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) Echo-State-Network / Hyperbolic tangent / Non-Linear Function Approximation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 139, ICD2021-3, pp. 12-17, Aug. 2021.
Paper # ICD2021-3 
Date of Issue 2021-08-10 (SDM, ICD) 
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 SDM2021-32 ICD2021-3

Conference Information
Committee SDM ICD ITE-IST  
Conference Date 2021-08-17 - 2021-08-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Analog, Mixed Analog and Digital, RF, and Sensor Interface, Low Voltage/Low Power Techniques, Novel Devices/Circuits, and the Applications 
Paper Information
Registration To ICD 
Conference Code 2021-08-SDM-ICD-IST 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Approximation of Non-Linear Function for Hardware Implementation of Echo-State-Network 
Sub Title (in English)  
Keyword(1) Echo-State-Network  
Keyword(2) Hyperbolic tangent  
Keyword(3) Non-Linear Function Approximation  
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1st Author's Name Amartuvshin Bayasgalan  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Makoto Ikeda  
2nd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2021-08-17 11:45:00 
Presentation Time 25 minutes 
Registration for ICD 
Paper # SDM2021-32, ICD2021-3 
Volume (vol) vol.121 
Number (no) no.138(SDM), no.139(ICD) 
Page pp.12-17 
#Pages 6 
Date of Issue 2021-08-10 (SDM, ICD) 

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