Input Compensation Learning: modelling dynamical systems
Krause AF, Dürr V, Schack T, Cruse H (2011)
In: The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT. Ding Y, Wang H, Xiong N, Hao K, Wang L (Eds); IEEE: 474-478.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Herausgeber*in
Ding, Y.;
Wang, H.;
Xiong, N.;
Hao, K.;
Wang, L.
Einrichtung
Abstract / Bemerkung
A special class of recurrent neural networks, Input Compensation (IC) networks, is applied to model two exemplarydynamical systems, the Van-der-Pol Oscillator and the Figure-Eight pattern. IC-learning results in compact networks that provide insights into the underlying properties of the modelled system.
Erscheinungsjahr
2011
Titel des Konferenzbandes
The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT
Seite(n)
474-478
Konferenz
Seventh International Conference on Natural Computation (ICNC '11)
Konferenzort
Shanghai
Konferenzdatum
2011-07-26 – 2011-07-28
ISBN
978-1-4244-9950-2
Page URI
https://pub.uni-bielefeld.de/record/2047263
Zitieren
Krause AF, Dürr V, Schack T, Cruse H. Input Compensation Learning: modelling dynamical systems. In: Ding Y, Wang H, Xiong N, Hao K, Wang L, eds. The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT. IEEE; 2011: 474-478.
Krause, A. F., Dürr, V., Schack, T., & Cruse, H. (2011). Input Compensation Learning: modelling dynamical systems. In Y. Ding, H. Wang, N. Xiong, K. Hao, & L. Wang (Eds.), The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT (pp. 474-478). IEEE. https://doi.org/10.1109/ICNC.2011.6022106
Krause, André Frank, Dürr, Volker, Schack, Thomas, and Cruse, Holk. 2011. “Input Compensation Learning: modelling dynamical systems”. In The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT, ed. Y. Ding, H. Wang, N. Xiong, K. Hao, and L. Wang, 474-478. IEEE.
Krause, A. F., Dürr, V., Schack, T., and Cruse, H. (2011). “Input Compensation Learning: modelling dynamical systems” in The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT, Ding, Y., Wang, H., Xiong, N., Hao, K., and Wang, L. eds. (IEEE), 474-478.
Krause, A.F., et al., 2011. Input Compensation Learning: modelling dynamical systems. In Y. Ding, et al., eds. The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT. IEEE, pp. 474-478.
A.F. Krause, et al., “Input Compensation Learning: modelling dynamical systems”, The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT, Y. Ding, et al., eds., IEEE, 2011, pp.474-478.
Krause, A.F., Dürr, V., Schack, T., Cruse, H.: Input Compensation Learning: modelling dynamical systems. In: Ding, Y., Wang, H., Xiong, N., Hao, K., and Wang, L. (eds.) The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT. p. 474-478. IEEE (2011).
Krause, André Frank, Dürr, Volker, Schack, Thomas, and Cruse, Holk. “Input Compensation Learning: modelling dynamical systems”. The 7th International Conference on Natural Computation (ICNC11) - IEEE CFP11CNC-PRT. Ed. Y. Ding, H. Wang, N. Xiong, K. Hao, and L. Wang. IEEE, 2011. 474-478.
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