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.

Conference Paper | Published | English

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Editor
Dorffner, Georg ; Bischof, Horst ; Hornik, Kurt
Publishing Year
Conference
ICANN 2001
Location
Vienna, Austria
Conference Date
2001-08-21/2001-08-25
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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, B. (2001). “On the Generalization Ability of Recurrent Networks” in Artificial Neural Networks. Proceedings. Lecture Notes in Computer Science, 2130, ed. G. Dorffner, H. Bischof, and K. Hornik (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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