Genetic programming in time series modelling: An application to meteorological data
Por:
Rodríguez Vázquez K.
Publicada:
1 ene 2001
Resumen:
This paper describes a genetic programming approach for applications on prediction of real meteorological data. The well-know SISO NARMAX model is used to model and forecast this real time series, The evaluation of candidate models is based on a set of criteria taken into consideration in order to get the simpler and more accurate model for prediction.