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Paper Abstract and Keywords
Presentation 2018-12-25 15:45
Neural network using Bi3.25La0.75Ti3O12 thin film for synapse
Yuta Miyabe, Jumpei Shimura, Homare Yoshida, Isato Ogawa (Ryukoku Univ.), Kenichi Haga, Eisuke Tokumitsu (JAIST), Mutsumi Kimura (Ryukoku Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The neural network (NN) is an information processing model that imitate the human brains. We are conducting research to realize the NN with hardware. In this research, we aim to develop synapses specialized for low power consumption using BLT thin film which is a ferroelectric material. In the simulation, we confirmed learning with NN using ferroelectric material. In device evaluation, usefulness as synapses could be confirmed by electrical characteristics.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural network / ferroelectric / Bi3.25La0.75Ti3O12(BLT) / synapse / / / /  
Reference Info. ITE Tech. Rep., vol. 42, no. 45, IDY2018-64, pp. 53-56, Dec. 2018.
Paper # IDY2018-64 
Date of Issue 2018-12-18 (IDY) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970

Conference Information
Committee IEICE-EID IEICE-SDM IDY  
Conference Date 2018-12-25 - 2018-12-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IDY 
Conference Code 2018-12-EID-SDM-IDY 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neural network using Bi3.25La0.75Ti3O12 thin film for synapse 
Sub Title (in English)  
Keyword(1) Neural network  
Keyword(2) ferroelectric  
Keyword(3) Bi3.25La0.75Ti3O12(BLT)  
Keyword(4) synapse  
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1st Author's Name Yuta Miyabe  
1st Author's Affiliation Ryukoku University (Ryukoku Univ.)
2nd Author's Name Jumpei Shimura  
2nd Author's Affiliation Ryukoku University (Ryukoku Univ.)
3rd Author's Name Homare Yoshida  
3rd Author's Affiliation Ryukoku University (Ryukoku Univ.)
4th Author's Name Isato Ogawa  
4th Author's Affiliation Ryukoku University (Ryukoku Univ.)
5th Author's Name Kenichi Haga  
5th Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
6th Author's Name Eisuke Tokumitsu  
6th Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
7th Author's Name Mutsumi Kimura  
7th Author's Affiliation Ryukoku University (Ryukoku Univ.)
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Speaker
Date Time 2018-12-25 15:45:00 
Presentation Time 15 
Registration for IDY 
Paper # ITE-IDY2018-64 
Volume (vol) ITE-42 
Number (no) no.45 
Page pp.53-56 
#Pages ITE-4 
Date of Issue ITE-IDY-2018-12-18 


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