Toward Evolutionary Nonlinear Prediction Model for Temperature Forecast Using Less Weather Elements

  • Kisung Seo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 275)


This paper presents the notion of evolutionary nonlinear prediction technique for temperature forecast based on GP (Genetic Programming). The linear regression method is widely used in most of numeric weather prediction model. Their performances are acceptable, but some limitation is existed for nonlinear natures of the weather prediction. We explain how to apply symbolic regression method using GP for the nonlinear prediction model using less weather elements. In order to verify the possibility of the proposed method, experiments of temperature forecast for the sampled locations in South Korea are executed.


temperature forecast genetic programming nonlinear regression 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kisung Seo
    • 1
  1. 1.Dept. of Electronic EngineeringSeokyeong UniversitySeoulKorea

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