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A Support Vector Regression Approach to Predict Carbon Dioxide Exchange

  • Juan F. De Paz
  • Belén Pérez
  • Angélica González
  • Emilio Corchado
  • Juan M. Corchado
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 79)

Abstract

In this study, a new monitoring system for carbon dioxide exchange is presented. The mission of the intelligent environment presented in this work, is to globally monitor the interaction between the ocean’s surface and the atmosphere, facilitating the work of oceanographers. This paper proposes a hybrid intelligent system integrates case-based reasoning (CBR) and support vector regression (SVR) characterised for their efficiency for data processing and knowledge extraction. Results have demonstrated that the system accurately predicts the evolution of the carbon dioxide exchange.

Keywords

Carbon dioxide Support Vector Regression Case-based Reasoning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Juan F. De Paz
    • 1
  • Belén Pérez
    • 1
  • Angélica González
    • 1
  • Emilio Corchado
    • 1
  • Juan M. Corchado
    • 1
  1. 1.Departamento Informática y AutomáticaUniversidad de SalamancaSalamancaSpain

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