DocumentCode :
3597486
Title :
IPSO-based Parameter Identification of Semiconductor Devices
Author :
Wang, Kaier ; Ye, Meiying
Author_Institution :
Dept. of Phys., Zhejiang Normal Univ., Jinhua
fYear :
2008
Firstpage :
267
Lastpage :
270
Abstract :
An efficient and simple method of parameter identification for semiconductor devices is presented in this paper. The method is based on improved particle swarm optimization (IPSO), which can overcome some deficiencies of standard PSO. A typical semiconductor device, Schottky-barrier diode (SBD), has been used as an example for demonstration. The performance of the IPSO was compared with the standard PSO and the genetic algorithm (GA) that is commonly applied to solve parameter identification problems of semiconductor devices. The comparative results indicate that the IPSO method can obtain optimum solutions more easily than others.
Keywords :
Schottky barriers; Schottky diodes; genetic algorithms; particle swarm optimisation; semiconductor device models; Schottky-barrier diode; genetic algorithm; improved particle swarm optimization; parameter identification; semiconductor device; Genetic algorithms; Integrated circuit modeling; Low voltage; Optimization methods; Parameter estimation; Particle swarm optimization; Physics; Schottky diodes; Semiconductor devices; Semiconductor diodes; genetic algorithm; improved particle swarm optimization; parameter identification; semiconductor device;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Print_ISBN :
978-1-4244-3530-2
Electronic_ISBN :
978-1-4244-3531-9
Type :
conf
DOI :
10.1109/KAMW.2008.4810477
Filename :
4810477
Link To Document :
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