Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction

• Main Authors: Paz Santana, Juan Francisco de, Bajo Pérez, Javier, González Arrieta, María Angélica, Rodríguez González, Sara, Corchado Rodríguez, Juan Manuel
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer Science + Business Media 2010
• Subjects: Computer Science; North Atlantic
• Online Access: http://hdl.handle.net/10366/134408

This work presents a system for automatically evaluating the interaction that exists between the atmosphere and the ocean’s surface. Monitoring and evaluating the ocean’s carbon exchange process is a function that requires working with a great amount of data: satellite images and in situ vessel’s data. The system presented in this study focuses on computational intelligence. The study presents an intelligent system based on the use of case-based reasoning (CBR) systems and offers a distributed model for such an interaction. Moreover, the system takes into account the fact that the working environment is dynamic and therefore it requires autonomous models that evolve over time. In order to resolve this problem, an intelligent environment has been developed, based on the use of CBR systems, which are capable of handling several goals, by constructing plans from the data obtained through satellite images and research vessels, acquiring knowledge and adapting to environmental changes. The artificial intelligence system has been successfully tested in the North Atlantic Ocean, and the results obtained will be presented in this study.