Evolutive design of ARMA and ANN models for time series forecasting

The evolutionary design of time series forecasters is a field that has been explored for several years now. In this paper, a complete design and training of ARMA (Auto-Regressive Moving Average) and ANN (Artificial Neural Networks) models through the use of Evolutionary Computation is presented. Tha...

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Veröffentlicht in:	Renewable energy 2012-08, Vol.44, p.225-230
Hauptverfasser:	Flores, Juan J., Graff, Mario, Rodriguez, Hector
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial neural networks Energy Energy economics Evolutionary Evolutionary algorithms Evolutionary design method Exact sciences and technology Feature selection Forecasting General, economic and professional studies Learning theory Mathematical analysis Mathematical models Methodology. Modelling Neural networks renewable energy sources Time series time series analysis Time series forecasting
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