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» Input Selection for Long-Term Prediction of Time Series
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ENGL
2007
204views more  ENGL 2007»
13 years 5 months ago
Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Pilar Gómez-Gil
ICASSP
2009
IEEE
14 years 1 days ago
Comparison of MPEG-7 descriptors for long term selection of reference frames
During the last years, the amount of multimedia content has greatly increased. This has multiplied the need of efficient compression of the content but also the ability to search...
Javier Ruiz Hidalgo, Philippe Salembier
HICSS
1999
IEEE
87views Biometrics» more  HICSS 1999»
13 years 9 months ago
Telecommuting: Does it Work in the Long Term?
While there is considerable literature reporting the results of studies of benefits and problems associated with telecommuting, there is little longitudinal research available add...
Geoffrey Dick, Ian Duncanson
ESANN
2006
13 years 6 months ago
Time series prediction using DirRec strategy
This paper demonstrates how the selection of Prediction Strategy is important in the Long-Term Prediction of Time Series. Two strategies are already used in the prediction purposes...
Antti Sorjamaa, Amaury Lendasse
IJON
2007
102views more  IJON 2007»
13 years 5 months ago
Methodology for long-term prediction of time series
In this paper, a global methodology for the long-term prediction of time series is proposed. This methodology combines direct prediction strategy and sophisticated input selection...
Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji,...