7 search results - page 1 / 2 » A New Look at Nonlinear Time Series Prediction with NARX Rec... |
SBRN
2006
IEEE
14 years 3 months ago
2006
IEEE
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
IJON
2007
13 years 9 months ago
2007
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
ESANN
2001
13 years 10 months ago
2001
Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
ENGL
2007
13 years 9 months ago
2007
—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...