Fault-Tolerance Of Associative Memories Based On Neural Networks
Rückert U, Kreuzer I, Tryba V (1989)
In: Proceedings of the International Conference on Computer Technology, Systems and Applications. Hamburg, Germany: IEEE Comput. Soc. Press: 1.52-1.55.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Rückert, UlrichUniBi;
Kreuzer, I.;
Tryba, V.
Abstract / Bemerkung
The authors discuss the hardware fault tolerance of associative memories. They study device parameter variations across a chip, which affect essentially the characteristics of analog circuits used by several architectures. The effects of these errors on the performance are examined by means of three typical representatives: the Hopfield model, the self-organizing feature map, and the Boltzmann machine. The authors present a worst-case estimation of the guaranteed fault tolerance of these networks and discuss the consequences for the features of the associative memories. The main result is that the fault tolerance decreases with the number of weights but can be improved by using spare codes or self-organization in connection with added resources
Erscheinungsjahr
1989
Titel des Konferenzbandes
Proceedings of the International Conference on Computer Technology, Systems and Applications
Seite(n)
1.52-1.55
ISBN
0818619406
Page URI
https://pub.uni-bielefeld.de/record/2281072
Zitieren
Rückert U, Kreuzer I, Tryba V. Fault-Tolerance Of Associative Memories Based On Neural Networks. In: Proceedings of the International Conference on Computer Technology, Systems and Applications. Hamburg, Germany: IEEE Comput. Soc. Press; 1989: 1.52-1.55.
Rückert, U., Kreuzer, I., & Tryba, V. (1989). Fault-Tolerance Of Associative Memories Based On Neural Networks. Proceedings of the International Conference on Computer Technology, Systems and Applications, 1.52-1.55. Hamburg, Germany: IEEE Comput. Soc. Press. https://doi.org/10.1109/CMPEUR.1989.93343
Rückert, Ulrich, Kreuzer, I., and Tryba, V. 1989. “Fault-Tolerance Of Associative Memories Based On Neural Networks”. In Proceedings of the International Conference on Computer Technology, Systems and Applications, 1.52-1.55. Hamburg, Germany: IEEE Comput. Soc. Press.
Rückert, U., Kreuzer, I., and Tryba, V. (1989). “Fault-Tolerance Of Associative Memories Based On Neural Networks” in Proceedings of the International Conference on Computer Technology, Systems and Applications (Hamburg, Germany: IEEE Comput. Soc. Press), 1.52-1.55.
Rückert, U., Kreuzer, I., & Tryba, V., 1989. Fault-Tolerance Of Associative Memories Based On Neural Networks. In Proceedings of the International Conference on Computer Technology, Systems and Applications. Hamburg, Germany: IEEE Comput. Soc. Press, pp. 1.52-1.55.
U. Rückert, I. Kreuzer, and V. Tryba, “Fault-Tolerance Of Associative Memories Based On Neural Networks”, Proceedings of the International Conference on Computer Technology, Systems and Applications, Hamburg, Germany: IEEE Comput. Soc. Press, 1989, pp.1.52-1.55.
Rückert, U., Kreuzer, I., Tryba, V.: Fault-Tolerance Of Associative Memories Based On Neural Networks. Proceedings of the International Conference on Computer Technology, Systems and Applications. p. 1.52-1.55. IEEE Comput. Soc. Press, Hamburg, Germany (1989).
Rückert, Ulrich, Kreuzer, I., and Tryba, V. “Fault-Tolerance Of Associative Memories Based On Neural Networks”. Proceedings of the International Conference on Computer Technology, Systems and Applications. Hamburg, Germany: IEEE Comput. Soc. Press, 1989. 1.52-1.55.
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