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NPL
2011
12 years 7 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
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...
Pilar Gómez-Gil, Juan Manuel Ramírez...
ESANN
2003
13 years 6 months ago
Self-organizing maps and functional networks for local dynamic modeling
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Noelia Sánchez-Maroño, Oscar Fontenl...
CEC
2009
IEEE
13 years 11 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
13 years 2 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung