A Case-Based Reasoning System to Forecast the Presence Of Oil Slicks

Abstract

After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented here forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodology. CBR is a computational methodology designed to generate solutions to a certain problem by analysing previous solutions given to previous solved problems. The proposed system wraps other artificial intelligence techniques such as a Radial Basis Function Networks, Growing Cell Structures and Principal Components Analysis in order to develop the different phases of the CBR cycle. CBR systems have never been used before to solve oil slicks problems. The proposed system uses information obtained from various satellites such as salinity, temperature, pressure, number and area of the slicks.... OSCBR system has been able to accurately predict the presence of oil slicks in the north west of the Galician coast, using historical data.

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Cite this paper

@inproceedings{Corchado2008ACR, title={A Case-Based Reasoning System to Forecast the Presence Of Oil Slicks}, author={Juan M. Corchado and Aitor Mata and Juan Francisco de Paz and David Del Pozo}, booktitle={IADIS European Conf. Data Mining}, year={2008} }