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P‐61: Distinguished Poster: Research on Parameter Extraction of Thin‐Film Transistors Based on Swarm Intelligence.

Authors :
Liu, Peng
Liu, Bailing
Feng, Jing
Wang, Zhichong
Chang, Chuanchuan
Zhang, Qian
Zhang, Han
Liu, Dong
Guo, Xu
Zhang, Xin
Liu, Xingyao
Yuan, Guangcai
Source :
SID Symposium Digest of Technical Papers; Jun2023, Vol. 54 Issue 1, p1856-1859, 4p
Publication Year :
2023

Abstract

Automatic parameter extraction of RPI Model for Polysilicon Thin‐Film Transistors is achieved by genetic algorithm(GA) and Particle swarm optimization(PSO) algorithm, and the solution of two algorithms are compared. Furthermore, mutual learning particle swarm optimization (MLPSO) algorithm is proposed, which simplifies the complex manual processes and the empirical calibration, and achieves accurate parameters extraction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0097966X
Volume :
54
Issue :
1
Database :
Complementary Index
Journal :
SID Symposium Digest of Technical Papers
Publication Type :
Academic Journal
Accession number :
171105660
Full Text :
https://doi.org/10.1002/sdtp.16970