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2008

Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles

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Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles
. In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodology. CBR systems are designed to generate solutions to a certain problem by analysing historical data where previous solutions are stored. The system explained includes a novel network for data classification and retrieval. Such network works as a summarization algorithm for the results of an ensemble of Self-Organizing Maps. This algorithm, called Weighted Voting Superposition (WeVoS), is aimed to achieve the lowest topographic error in the map. The WeVoS-CBR system has been able to precisely predict the presence of oil slicks in the open sea areas of the north west of the Galician coast.
Aitor Mata, Emilio Corchado, Bruno Baruque
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where DCAI
Authors Aitor Mata, Emilio Corchado, Bruno Baruque
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