Using neural network models for efficient GaAs MESFET time domain nonlinear circuit analysis

Author

Silva, Paulo Henrique da Fonseca ; De Melo, Marcos Antônio Barbosa ; Neto, Adriao Duarte Doria

Volume

3

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

2282

Lastpage

2287

Abstract

This paper describes the applications of multilayer perceptrons for GaAs device and integrated circuit modeling, that were proposed to improve circuit simulation programs like SPICE. The obtained results by the MESFET logic gate circuit simulations prove the validation of neural models applicability for the time domain nonlinear circuit transient and sensitivity analyses

Keywords

III-V semiconductors; MESFET circuits; circuit analysis computing; gallium arsenide; integrated circuit modelling; multilayer perceptrons; nonlinear network analysis; time-domain analysis; time-varying networks; IC modeling; MESFET logic gate circuit simulations; SPICE; circuit simulation programs; efficient GaAs MESFET time domain nonlinear circuit analysis; integrated circuit modeling; multilayer perceptrons; neural network models; time-domain nonlinear circuit sensitivity analysis; time-domain nonlinear circuit transient analysis; Application specific integrated circuits; Circuit simulation; Gallium arsenide; Integrated circuit modeling; Logic devices; Logic gates; MESFET circuits; Multilayer perceptrons; Neural networks; SPICE;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007497

Filename

1007497