Tolerance of Radial-Basis Functions Against Stuck-At-Faults
Eickhoff R, Rückert U (2005)
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN).(3697). Warsaw, Poland: 1003-1008.
Konferenzbeitrag
| Veröffentlicht | Englisch
Autor*in
Eickhoff, Ralf;
Rückert, UlrichUniBi
Abstract / Bemerkung
Neural networks are intended to be used in future nanoelectronic
systems since neural architectures seem to be robust against
malfunctioning elements and noise in their weights. In this paper we
analyze the fault-tolerance of Radial Basis Function networks to Stuck-
At-Faults at the trained weights and at the output of neurons. Moreover,
we determine upper bounds on the mean square error arising from these
faults.
Erscheinungsjahr
2005
Titel des Konferenzbandes
Proceedings of the International Conference on Artificial Neural Networks (ICANN)
Ausgabe
3697
Seite(n)
1003-1008
Page URI
https://pub.uni-bielefeld.de/record/2288837
Zitieren
Eickhoff R, Rückert U. Tolerance of Radial-Basis Functions Against Stuck-At-Faults. In: Proceedings of the International Conference on Artificial Neural Networks (ICANN). Warsaw, Poland; 2005: 1003-1008.
Eickhoff, R., & Rückert, U. (2005). Tolerance of Radial-Basis Functions Against Stuck-At-Faults. Proceedings of the International Conference on Artificial Neural Networks (ICANN), 1003-1008. Warsaw, Poland.
Eickhoff, Ralf, and Rückert, Ulrich. 2005. “Tolerance of Radial-Basis Functions Against Stuck-At-Faults”. In Proceedings of the International Conference on Artificial Neural Networks (ICANN), 1003-1008. Warsaw, Poland.
Eickhoff, R., and Rückert, U. (2005). “Tolerance of Radial-Basis Functions Against Stuck-At-Faults” in Proceedings of the International Conference on Artificial Neural Networks (ICANN) (Warsaw, Poland), 1003-1008.
Eickhoff, R., & Rückert, U., 2005. Tolerance of Radial-Basis Functions Against Stuck-At-Faults. In Proceedings of the International Conference on Artificial Neural Networks (ICANN). Warsaw, Poland, pp. 1003-1008.
R. Eickhoff and U. Rückert, “Tolerance of Radial-Basis Functions Against Stuck-At-Faults”, Proceedings of the International Conference on Artificial Neural Networks (ICANN), Warsaw, Poland: 2005, pp.1003-1008.
Eickhoff, R., Rückert, U.: Tolerance of Radial-Basis Functions Against Stuck-At-Faults. Proceedings of the International Conference on Artificial Neural Networks (ICANN). p. 1003-1008. Warsaw, Poland (2005).
Eickhoff, Ralf, and Rückert, Ulrich. “Tolerance of Radial-Basis Functions Against Stuck-At-Faults”. Proceedings of the International Conference on Artificial Neural Networks (ICANN). Warsaw, Poland, 2005. 1003-1008.
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