Learning long-term dependencies is not as difficult with NARX recurrent neural networks
T. Lin, B. Horne, P. Tino, and C. Giles. UMIACS-TR-95-78 and CS-TR-3500. Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742, (1995)
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%0 Report
%1 Lin:95
%A Lin, T.
%A Horne, B. G.
%A Tino, P.
%A Giles, C. L.
%D 1995
%K juergen
%N UMIACS-TR-95-78 and CS-TR-3500
%T Learning long-term dependencies is not as difficult with NARX recurrent neural networks
@techreport{Lin:95,
added-at = {2008-03-11T14:52:34.000+0100},
author = {Lin, T. and Horne, B. G. and Tino, P. and Giles, C. L.},
biburl = {https://www.bibsonomy.org/bibtex/2c6bdeedf79d9cf18ca83853d281bc9f3/idsia},
citeulike-article-id = {2381719},
institution = {Institute for Advanced Computer Studies, University of Maryland, College Park, MD 20742},
interhash = {a0ad213016c50ed8cb28c8b54a26ac5b},
intrahash = {c6bdeedf79d9cf18ca83853d281bc9f3},
keywords = {juergen},
number = {UMIACS-TR-95-78 and CS-TR-3500},
priority = {2},
timestamp = {2008-03-11T14:53:44.000+0100},
title = {Learning long-term dependencies is not as difficult with {NARX} recurrent neural networks},
year = 1995
}
