DocumentCode
1747744
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
Volume
1
fYear
2001
fDate
2001
Firstpage
261
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location
Seoul
Print_ISBN
0-7803-6657-3
Type
conf
DOI
10.1109/CEC.2001.934399
Filename
934399
Link To Document