Fault Diagnosis of Analog Circuits with Tolerances By Using RBF and BP Neural Networks

Abstract

This paper presents a method for analog circuit fault diagnosis by using neural networks. This method exploits DC approach for constructing dictionary in fault diagnosis by neural networks classification capability. In addition, Radial basis function (RBF) and backward error propagation (BEP) networks are considered and compared for analog fault diagnosis… (More)

Topics

6 Figures and Tables

Cite this paper

@inproceedings{Mohammadi2003FaultDO, title={Fault Diagnosis of Analog Circuits with Tolerances By Using RBF and BP Neural Networks}, author={K. Mohammadi and Amin Monfared and A. Molaei Nejad}, year={2003} }