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

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 propos...

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Veröffentlicht in:	SID International Symposium Digest of technical papers Jg. 54; H. 1; S. 1856 - 1859
Hauptverfasser:	Liu, Peng, Liu, Bailing, Feng, Jing, Wang, Zhichong, Chang, Chuanchuan, Zhang, Qian, Zhang, Han, Liu, Dong, Guo, Xu, Zhang, Xin, Liu, Xingyao, Yuan, Guangcai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Campbell Wiley Subscription Services, Inc 01.06.2023
Schlagworte:	Device DC Model GA(Genetic Algorithm) Genetic algorithms Machine learning Parameters Particle swarm optimization Polysilicon PSO(Particle Swarm Optimization Algorithm) Semiconductor devices SPICE(Simulation program with integrated circuit emphasis) Swarm Intelligence Thin film transistors
ISSN:	0097-966X, 2168-0159
Online-Zugang:	Volltext
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