In-Ga-Zn-O Thin Film Synapse in Neural Network Using LSI

2018 ◽  
Author(s):  
Yuki Shibayama ◽  
Daiki Yamakawa ◽  
Mutsumi Kimura ◽  
Yasuhiko Nakashima
Keyword(s):  
Neural Network ◽  
Thin Film

scholarly journals In–Ga–Zn–O Thin-Film Devices As Synapse Elements in a Neural Network

2018 ◽  
Vol 6 ◽  
pp. 100-105 ◽  
Author(s):  
Mutsumi Kimura ◽  
Yuki Koga ◽  
Hiroki Nakanishi ◽  
Tokiyoshi Matsuda ◽  
Tomoya Kameda ◽  
...  
Keyword(s):  
Neural Network ◽  
Thin Film ◽  
Thin Film Devices

On-Line Thickness Measurement of Thin Film Based on Neural Network

2014 ◽  
Vol 484-485 ◽  
pp. 307-310
Author(s):  
Li Cai ◽  
Yue Gang Tan ◽  
Qin Wei
Keyword(s):  
Neural Network ◽  
Thin Film ◽  
Film Thickness ◽  
Production Cost ◽  
Rbf Neural Network ◽  
Thickness Measurement ◽  
Monitoring Method ◽  
Line Thickness ◽  
On Line ◽  
Thickness Deviation

This paper proposes a on-line thickness measurement scheme of thin film based on the capacitance thickness sensor and introduces the composition and principle of thickness measurement system. Then it further states the principle and simulation of the RBF neural network, which can effectively predict the thickness deviation of thin film by setting the appropriate parameters. The monitoring method based on the RBF neural network will reduce production cost and make the film thickness uniformity better, combining the traditional film production line with an new idea of controlling the opening degree of wind ring.

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