On the Generalization Ability of Recurrent Networks
Hammer B (2001)
In: Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130. Dorffner G, Bischof H, Hornik K (Eds); Berlin: Springer: 731-736.
Konferenzbeitrag
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Autor*in
Herausgeber*in
Dorffner, Georg;
Bischof, Horst;
Hornik, Kurt
Einrichtung
Erscheinungsjahr
2001
Titel des Konferenzbandes
Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130
Seite(n)
731-736
Konferenz
ICANN 2001
Konferenzort
Vienna, Austria
Konferenzdatum
2001-08-21/2001-08-25
Page URI
https://pub.uni-bielefeld.de/record/1993474
Zitieren
Hammer B. On the Generalization Ability of Recurrent Networks. In: Dorffner G, Bischof H, Hornik K, eds. Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130. Berlin: Springer; 2001: 731-736.
Hammer, B. (2001). On the Generalization Ability of Recurrent Networks. In G. Dorffner, H. Bischof, & K. Hornik (Eds.), Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130 (pp. 731-736). Berlin: Springer.
Hammer, Barbara. 2001. “On the Generalization Ability of Recurrent Networks”. In Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130, ed. Georg Dorffner, Horst Bischof, and Kurt Hornik, 731-736. Berlin: Springer.
Hammer, B. (2001). “On the Generalization Ability of Recurrent Networks” in Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130, Dorffner, G., Bischof, H., and Hornik, K. eds. (Berlin: Springer), 731-736.
Hammer, B., 2001. On the Generalization Ability of Recurrent Networks. In G. Dorffner, H. Bischof, & K. Hornik, eds. Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130. Berlin: Springer, pp. 731-736.
B. Hammer, “On the Generalization Ability of Recurrent Networks”, Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130, G. Dorffner, H. Bischof, and K. Hornik, eds., Berlin: Springer, 2001, pp.731-736.
Hammer, B.: On the Generalization Ability of Recurrent Networks. In: Dorffner, G., Bischof, H., and Hornik, K. (eds.) Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130. p. 731-736. Springer, Berlin (2001).
Hammer, Barbara. “On the Generalization Ability of Recurrent Networks”. Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130. Ed. Georg Dorffner, Horst Bischof, and Kurt Hornik. Berlin: Springer, 2001. 731-736.
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