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Genetic Programming in Time Series Modelling: An Application to Meteorological Data (2001)

by Katya Rodriguez Vazquez
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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. 1.

Citations

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