Impact of shrinking technologies on the activation function of neurons
Eickhoff R, Kaulmann T, Rückert U (2007)
In: Proceedings of the International Conference on Artificial Neural Networks. Sá JPM de (Ed); Lecture notes in computer science, 4668. Berlin, Heidelberg: Springer-Verlag: 501-510.
Konferenzbeitrag
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Autor*in
Eickhoff, Ralf;
Kaulmann, Tim;
Rückert, UlrichUniBi
Herausgeber*in
Sá, Joaquim P. Marques de
Abstract / Bemerkung
Artificial neural networks are able to solve a great variety of
different applications, e.g. classification or approximation tasks. To utilize
their advantages in technical systems various hardware realizations do
exist. In this work, the impact of shrinking device sizes on the activation
function of neurons is investigated with respect to area demands, power
consumption and the maximum resolution in their information processing.
Furthermore, analog and digital implementations are compared in
emerging silicon technologies beyond 100 nm feature size.
Erscheinungsjahr
2007
Titel des Konferenzbandes
Proceedings of the International Conference on Artificial Neural Networks
Serien- oder Zeitschriftentitel
Lecture notes in computer science
Band
4668
Seite(n)
501-510
ISBN
9783540746898
ISSN
0302-9743
Page URI
https://pub.uni-bielefeld.de/record/2289102
Zitieren
Eickhoff R, Kaulmann T, Rückert U. Impact of shrinking technologies on the activation function of neurons. In: Sá JPM de, ed. Proceedings of the International Conference on Artificial Neural Networks. Lecture notes in computer science. Vol 4668. Berlin, Heidelberg: Springer-Verlag; 2007: 501-510.
Eickhoff, R., Kaulmann, T., & Rückert, U. (2007). Impact of shrinking technologies on the activation function of neurons. In J. P. M. de Sá (Ed.), Lecture notes in computer science: Vol. 4668. Proceedings of the International Conference on Artificial Neural Networks (pp. 501-510). Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-540-74690-4_51
Eickhoff, Ralf, Kaulmann, Tim, and Rückert, Ulrich. 2007. “Impact of shrinking technologies on the activation function of neurons”. In Proceedings of the International Conference on Artificial Neural Networks, ed. Joaquim P. Marques de Sá, 4668:501-510. Lecture notes in computer science. Berlin, Heidelberg: Springer-Verlag.
Eickhoff, R., Kaulmann, T., and Rückert, U. (2007). “Impact of shrinking technologies on the activation function of neurons” in Proceedings of the International Conference on Artificial Neural Networks, Sá, J. P. M. de ed. Lecture notes in computer science, vol. 4668, (Berlin, Heidelberg: Springer-Verlag), 501-510.
Eickhoff, R., Kaulmann, T., & Rückert, U., 2007. Impact of shrinking technologies on the activation function of neurons. In J. P. M. de Sá, ed. Proceedings of the International Conference on Artificial Neural Networks. Lecture notes in computer science. no.4668 Berlin, Heidelberg: Springer-Verlag, pp. 501-510.
R. Eickhoff, T. Kaulmann, and U. Rückert, “Impact of shrinking technologies on the activation function of neurons”, Proceedings of the International Conference on Artificial Neural Networks, J.P.M. de Sá, ed., Lecture notes in computer science, vol. 4668, Berlin, Heidelberg: Springer-Verlag, 2007, pp.501-510.
Eickhoff, R., Kaulmann, T., Rückert, U.: Impact of shrinking technologies on the activation function of neurons. In: Sá, J.P.M. de (ed.) Proceedings of the International Conference on Artificial Neural Networks. Lecture notes in computer science. 4668, p. 501-510. Springer-Verlag, Berlin, Heidelberg (2007).
Eickhoff, Ralf, Kaulmann, Tim, and Rückert, Ulrich. “Impact of shrinking technologies on the activation function of neurons”. Proceedings of the International Conference on Artificial Neural Networks. Ed. Joaquim P. Marques de Sá. Berlin, Heidelberg: Springer-Verlag, 2007.Vol. 4668. Lecture notes in computer science. 501-510.
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