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 |
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