The importance of symbolic analysis in the neural network approach to analog circuit fault diagnosis is discussed in this paper. Theoretical explanations and two explicative examples are presented, by taking into account the k-fault hypothesis.

Symbolic techniques in neural network based fault diagnosis of analog circuits / F. Grasso; A. Luchetta; S. Manetti; M. C. Piccirilli. - ELETTRONICO. - (2010), pp. 1-4. (Intervento presentato al convegno XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD 2010) tenutosi a Gammath, Tunisia nel Ottobre) [10.1109/SM2ACD.2010.5672314].

Symbolic techniques in neural network based fault diagnosis of analog circuits

GRASSO, FRANCESCO;LUCHETTA, ANTONIO;MANETTI, STEFANO;PICCIRILLI, MARIA CRISTINA
2010

Abstract

The importance of symbolic analysis in the neural network approach to analog circuit fault diagnosis is discussed in this paper. Theoretical explanations and two explicative examples are presented, by taking into account the k-fault hypothesis.
2010
Proceedings of XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD 2010)
XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD 2010)
Gammath, Tunisia
Ottobre
F. Grasso; A. Luchetta; S. Manetti; M. C. Piccirilli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/397322
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