Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs

Haschke R, Steil JJ, Ritter H (2001)
In: Artificial Neural Networks - ICANN 2001. Dorffner G, Bischof H, Hornik K (Eds); Lecture notes in computer science, 2130. Springer: 1109-1114.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Herausgeber*in
Dorffner, Georg; Bischof, Horst; Hornik, Kurt
Abstract / Bemerkung
We derive analytical expressions of codim-1-bifurcations for a fully connected, additive two-neuron network with sigmoidal activations, where the two external inputs are regarded as bifurcation parameters. The obtained Neimark-Sacker bifurcation curve encloses a region in input space with stable oscillatory behaviour, in which it is possible to control the oscillation frequency by adjusting the inputs.
Erscheinungsjahr
2001
Titel des Konferenzbandes
Artificial Neural Networks - ICANN 2001
Serien- oder Zeitschriftentitel
Lecture notes in computer science
Band
2130
Seite(n)
1109-1114
Konferenz
International Conference on Artificial Neural Networks (ICANN 2001)
Konferenzort
Vienna, Austria
Konferenzdatum
2001-08-21 – 2001-08-25
ISSN
0302-9743
Page URI
https://pub.uni-bielefeld.de/record/1615610

Zitieren

Haschke R, Steil JJ, Ritter H. Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In: Dorffner G, Bischof H, Hornik K, eds. Artificial Neural Networks - ICANN 2001. Lecture notes in computer science. Vol 2130. Springer; 2001: 1109-1114.
Haschke, R., Steil, J. J., & Ritter, H. (2001). Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In G. Dorffner, H. Bischof, & K. Hornik (Eds.), Lecture notes in computer science: Vol. 2130. Artificial Neural Networks - ICANN 2001 (pp. 1109-1114). Springer. https://doi.org/10.1007/3-540-44668-0_154
Haschke, Robert, Steil, Jochen J., and Ritter, Helge. 2001. “Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs”. In Artificial Neural Networks - ICANN 2001, ed. Georg Dorffner, Horst Bischof, and Kurt Hornik, 2130:1109-1114. Lecture notes in computer science. Springer.
Haschke, R., Steil, J. J., and Ritter, H. (2001). “Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs” in Artificial Neural Networks - ICANN 2001, Dorffner, G., Bischof, H., and Hornik, K. eds. Lecture notes in computer science, vol. 2130, (Springer), 1109-1114.
Haschke, R., Steil, J.J., & Ritter, H., 2001. Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In G. Dorffner, H. Bischof, & K. Hornik, eds. Artificial Neural Networks - ICANN 2001. Lecture notes in computer science. no.2130 Springer, pp. 1109-1114.
R. Haschke, J.J. Steil, and H. Ritter, “Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs”, Artificial Neural Networks - ICANN 2001, G. Dorffner, H. Bischof, and K. Hornik, eds., Lecture notes in computer science, vol. 2130, Springer, 2001, pp.1109-1114.
Haschke, R., Steil, J.J., Ritter, H.: Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. In: Dorffner, G., Bischof, H., and Hornik, K. (eds.) Artificial Neural Networks - ICANN 2001. Lecture notes in computer science. 2130, p. 1109-1114. Springer (2001).
Haschke, Robert, Steil, Jochen J., and Ritter, Helge. “Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs”. Artificial Neural Networks - ICANN 2001. Ed. Georg Dorffner, Horst Bischof, and Kurt Hornik. Springer, 2001.Vol. 2130. Lecture notes in computer science. 1109-1114.
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