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].
Titolo: | Symbolic techniques in neural network based fault diagnosis of analog circuits | |
Autori di Ateneo: | ||
Autori: | GRASSO, FRANCESCO; LUCHETTA, ANTONIO; MANETTI, STEFANO; PICCIRILLI, MARIA CRISTINA | |
Anno di registrazione: | 2010 | |
Titolo del libro: | Proceedings of XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD 2010) | |
Titolo del congresso: | XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD 2010) | |
Luogo del congresso: | Gammath, Tunisia | |
Data del congresso: | Ottobre | |
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. | |
Handle: | http://hdl.handle.net/2158/397322 | |
Appare nelle tipologie: | 4a - Articolo in atti di congresso |
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