Neural model of electrical devices for circuit simulation

Author

Dos Santos, Alex L. ; Romariz, Alexandre R S ; De Carvalho, Paulo H P

Author_Institution

Dept. de Engenharia Eletrica, Brasilia Univ., Brazil

Volume

1

fYear

1997

fDate

11-14 Aug 1997

Firstpage

253

Abstract

In this work, a neural model for nonlinear circuit devices is proposed. This is an alternative to the modeling of complex ill-defined input-output mapping in new, not well-known structures. The neural model has been used in simulation algorithms revealing good approximation and generalization performance. The model is also been used to estimate output derivatives, which are needed in some simulation and optimization algorithms

Keywords

circuit analysis computing; circuit optimisation; digital simulation; generalisation (artificial intelligence); multilayer perceptrons; neural nets; nonlinear network analysis; approximation; circuit simulation; generalization performance; neural model; nonlinear circuit devices; optimization algorithms; output derivatives; simulation algorithms; Approximation algorithms; Artificial intelligence; Artificial neural networks; Circuit simulation; Equations; Function approximation; Multilayer perceptrons; Neural networks; Neurons; Nonlinear circuits;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Optoelectronics Conference, 1997. Linking to the Next Century. Proceedings., 1997 SBMO/IEEE MTT-S International

Conference_Location

Natal

Print_ISBN

0-7803-4165-1

Type

conf

DOI

10.1109/SBMOMO.1997.646858

Filename

646858