Presentation 2017-12-22
Simulation of neural network using ferroelectric capacitor
Isato Ogawa, Tomoharu Yokoyama, Mutsumi Kimura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The neural network aims to realize a new engineering information processing system by learning from the advanced information processing functions and principles possessed by the living body's brain and nervous system. In this study, we simulated a hopfield neural network by using a ferroelectric variable capacitor model at the synapse part. As a result, even if a voltage pattern such that a character "T" is applied when an input voltage is regarded as a 3 × 3 pixel pattern and then a voltage of a pattern distorting T by 1 pixel is applied, T It was possible to remember the voltage pattern of the learning and succeeded in learning.
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Keyword(in English)
Paper # EID2017-21,SDM2017-82
Date of Issue 2017-12-15 (EID, SDM)

Conference Information
Committee SDM / EID
Conference Date 2017/12/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto University
Topics (in Japanese) (See Japanese page)
Topics (in English) Si, Si-related materials, device process, electron devices, and display technology
Chair Tatsuya Kunikiyo(Renesas) / Yuko Kominami(Shizuoka Univ.)
Vice Chair Takahiro Shinada(Tohoku Univ.) / Mutsumi Kimura(Ryukoku Univ.)
Secretary Takahiro Shinada(Tohoku Univ.) / Mutsumi Kimura(Renesas)
Assistant Hiroya Ikeda(Shizuoka Univ.) / Tetsu Morooka(TOSHIBA MEMORY) / Rumiko Yamaguchi(Akita Univ.) / Hiroyuki Nitta(Japan Display) / Mitsuru Nakata(NHK) / Ryosuke Nonaka(Toshiba) / Takeshi Okuno(Huawei) / Tomokazu Shiga(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Silicon Device and Materials / Technical Committee on Electronic Information Displays
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Simulation of neural network using ferroelectric capacitor
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
1st Author's Name Isato Ogawa
1st Author's Affiliation Ryukoku University(Ryukoku Univ.)
2nd Author's Name Tomoharu Yokoyama
2nd Author's Affiliation Ryukoku University(Ryukoku Univ.)
3rd Author's Name Mutsumi Kimura
3rd Author's Affiliation Ryukoku University(Ryukoku Univ.)
Date 2017-12-22
Paper # EID2017-21,SDM2017-82
Volume (vol) vol.117
Number (no) EID-372,SDM-373
Page pp.pp.51-55(EID), pp.51-55(SDM),
#Pages 5
Date of Issue 2017-12-15 (EID, SDM)