Title :
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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007497
