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Automatic discovery of the regression model by the means of grammatical and differential evolution

Author

Listed:
  • Jiří LÝSEK

    (Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Brno, Czech Republic)

  • Jiří ŠŤASTNÝ

    (Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Brno, Czech Republic)

Abstract

In the contribution, there is discussed the usage of the method based on the grammatical and differential evolution for the automatic discovery of regression models for discrete datasets. The combination of these two methods enables the process to find the precise structure of the mathematical model and values for the model constants separately. The used method is described and tested on the selected regression examples. The results are reported and the obtained mathematical models are presented. The advantages of the selected approach are described and compared to the classical methods.

Suggested Citation

  • Jiří LÝSEK & Jiří ŠŤASTNÝ, 2014. "Automatic discovery of the regression model by the means of grammatical and differential evolution," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(12), pages 546-552.
    • Handle: RePEc:caa:jnlage:v:60:y:2014:i:12:id:160-2014-agricecon
    DOI: 10.17221/160/2014-AGRICECON
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    References listed on IDEAS

    as
    1. Arnošt VESELÝ, 2011. "Economic classification and regression problems and neural networks," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(3), pages 150-157.
    2. Svatopluk KAPOUNEK & Jitka POMĚNKOVÁ, 2013. "The endogeneity of optimum currency area criteria in the context of financial crisis: Evidence from the time-frequency domain analysis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(9), pages 389-395.
    3. Michael Štencl & Ondřej Popelka & Jiří Šťastný, 2011. "Comparison of time series forecasting with artificial neural network and statistical approach," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(2), pages 347-352.
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