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 | Veröffentlicht | Englisch
 
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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
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. doi:10.1007/978-3-540-74690-4_51
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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