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» Methodology for long-term prediction of time series
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ISNN
2010
Springer
13 years 3 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa
IWANN
2005
Springer
13 years 10 months ago
Input Selection for Long-Term Prediction of Time Series
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
Jarkko Tikka, Jaakko Hollmén, Amaury Lendas...
ICONIP
2008
13 years 6 months ago
Time Series Analysis for Long Term Prediction of Human Movement Trajectories
This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robo...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
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...
CORR
2007
Springer
102views Education» more  CORR 2007»
13 years 4 months ago
Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps
Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety of problems, but with limited applications in time series forecasting context....
Geoffroy Simon, Amaury Lendasse, Marie Cottrell, J...