Title :
Artificial neural network using poly-Si TFTs - verification of multiple overwriting -
Author :
Fujita, Yusuke ; Miyatani, Tomoaki ; Kasakawa, Tomohiro ; Kimura, Mutsumi
Author_Institution :
Dept. of Electron. & Inf., Ryukoku Univ., Otsu, Japan
Abstract :
Artificial neural networks are promising systems for information processing that have many advantages. Here, we demonstrate an artificial neural network using poly-Si TFTs. It may be possible to integrate a large-scale artificial neural network comparable to the human brain. Particularly in this presentation, we verify that the artificial neural network can be re-organized by multiple overwriting.
Keywords :
electronic engineering computing; elemental semiconductors; large scale integration; neural nets; silicon; thin film transistors; Si; TFT; artificial neural network; information processing; large-scale integration; multiple overwriting verification; Artificial neural networks; Biological neural networks; Humans; Information processing; Neurons; Thin film transistors; artificial neural network; multiple overwriting; poly-Si TFT;
Conference_Titel :
Future of Electron Devices, Kansai, (IMFEDK), 2011 International Meeting for
Conference_Location :
Osaka
Print_ISBN :
978-1-61284-145-8
Electronic_ISBN :
978-1-61284-147-2
DOI :
10.1109/IMFEDK.2011.5944876
