Neural model of electrical devices for circuit simulation

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 perfor...

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Bibliographic Details
Published in1997 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference. 'Linking to the Next Century'. Proceedings Vol. 1; pp. 253 - 258 vol.1
Main Authors Dos Santos, A.L., Romariz, A.R.S., De Carvalho, P.H.P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Approximation algorithms
Artificial intelligence
Artificial neural networks
Circuit simulation
Equations
Function approximation
Multilayer perceptrons
Neural networks
Neurons
Nonlinear circuits
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Summary: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.
ISBN:0780341651
9780780341654
DOI:10.1109/SBMOMO.1997.646858