A Support Vector Regression Approach to Predict Carbon Dioxide Exchange

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.