NPL
2011
13 years 3 months ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
IJON
2002
14 years 9 days ago
2002
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
TKDE
2008
14 years 15 days ago
2008
Abstract--This paper presents an investigation into the use of the delay coordinate embedding technique in the multi-inputmultioutput-adaptive-network-based fuzzy inference system ...
ENGL
2007
14 years 17 days 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...
SBRN
2000
IEEE
14 years 5 months ago
2000
IEEE
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...