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(Neural Computation. 2002;14:2039-2041.)
© 2002 The MIT Press


Note

Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM

J. Schmidhuber

juergen{at}idsia.ch, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, 6928 Manno-Lugano, Switzerland

F. Gers

felix{at}idsia.ch, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, 6928 Manno-Lugano, Switzerland

D. Eck

doug{at}idsia.ch, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, 6928 Manno-Lugano, Switzerland

In response to Rodriguez's recent article (2001), we compare the performance of simple recurrent nets and long short-term memory recurrent nets on context-free and context-sensitive languages.




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J. Schmidhuber, D. Wierstra, M. Gagliolo, and F. Gomez
Training recurrent networks by evolino.
Neural Comput., March 1, 2007; 19(3): 757 - 779.
[Abstract] [Full Text] [PDF]




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