Title :
Genetic programming in time series modelling: an application to meteorological data
Author :
Vázquez, Kntya Rodríguez
Author_Institution :
DISCA, Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
Abstract :
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
Keywords :
genetic algorithms; time series; weather forecasting; SISO NARMAX model; candidate models; genetic programming; meteorological data; time series modelling; Autoregressive processes; Equations; Evolutionary computation; Genetic programming; MIMO; Meteorology; Polynomials; Predictive models; System identification; Weather forecasting;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934399
