%0 Report %1 Gers2000 %A Gers, F. A. %A Eck, D. %A Schmidhuber, J. %C www.idsia.ch/\-techrep.html %D 2000 %K imported %N IDSIA-22-00 %T Applying LSTM to Time Series Predictable Through Time-Window Approaches %X Long Short-Term Memory (LSTM) is able to solve many time series tasks unsolvable by feed-forward networks using fixed size time windows. Here we find that LSTM's superiority does not carry over to certain simpler time series tasks solvable by time window approaches: the Mackey-Glass series and the Santa Fe FIR laser emission series (Set A). This suggests t use LSTM only when simpler traditional approaches fail.\\ Note: See the 2001 ICANN conference proceeding by the same title for a newer version of this paper.

@techreport{Gers2000, abstract = {Long Short-Term Memory (LSTM) is able to solve many time series tasks unsolvable by feed-forward networks using fixed size time windows. Here we find that LSTM's superiority does {\em not} carry over to certain simpler time series tasks solvable by time window approaches: the Mackey-Glass series and the Santa Fe FIR laser emission series (Set A). This suggests t use LSTM only when simpler traditional approaches fail.\\ {\em Note: See the 2001 ICANN conference proceeding by the same title for a newer version of this paper.}}, added-at = {2010-02-27T01:05:18.000+0100}, address = {www.idsia.ch/\-techrep.html}, author = {Gers, F. A. and Eck, D. and Schmidhuber, J.}, biburl = {https://www.bibsonomy.org/bibtex/2e0f6010df26aad4e0b222736e819b776/tb2332}, file = {IDSIA-22-00.ps.gz:ftp\://ftp.idsia.ch/pub/techrep/IDSIA-22-00.ps.gz:PostScript}, institution = {IDSIA}, interhash = {4e2fcfc0bf7368ec63673599899f0452}, intrahash = {e0f6010df26aad4e0b222736e819b776}, keywords = {imported}, month = {December}, number = {IDSIA-22-00}, owner = {thierry}, source = {OwnPublication}, timestamp = {2010-02-27T01:05:22.000+0100}, title = {Applying {LSTM} to Time Series Predictable Through Time-Window Approaches}, year = 2000 }