Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction
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 da...
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ftunivsalamanca:oai:gredos.usal.es:10366/134408 2023-05-15T17:33:09+02:00 Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction Paz Santana, Juan Francisco de Bajo Pérez, Javier González Arrieta, María Angélica Rodríguez González, Sara Corchado Rodríguez, Juan Manuel 2010 application/pdf http://hdl.handle.net/10366/134408 en eng Springer Science + Business Media Knowledge and Information Systems. Volumen 30 (1), pp. 155-177. Springer Science + Business Media. 0219-1377 (Print) / 0219-3116 (Online) http://hdl.handle.net/10366/134408 Attribution-NonCommercial-NoDerivs 3.0 Unported https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess CC-BY-NC-ND Computer Science info:eu-repo/semantics/article 2010 ftunivsalamanca 2022-02-17T21:45:28Z 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. Article in Journal/Newspaper North Atlantic Universidad de Salamanca: Gredos (Gestión del Repositorio Documental de la Universidad de Salamanca) |
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Open Polar |
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Universidad de Salamanca: Gredos (Gestión del Repositorio Documental de la Universidad de Salamanca) |
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ftunivsalamanca |
language |
English |
topic |
Computer Science |
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Computer Science Paz Santana, Juan Francisco de Bajo Pérez, Javier González Arrieta, María Angélica Rodríguez González, Sara Corchado Rodríguez, Juan Manuel Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction |
topic_facet |
Computer Science |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Paz Santana, Juan Francisco de Bajo Pérez, Javier González Arrieta, María Angélica Rodríguez González, Sara Corchado Rodríguez, Juan Manuel |
author_facet |
Paz Santana, Juan Francisco de Bajo Pérez, Javier González Arrieta, María Angélica Rodríguez González, Sara Corchado Rodríguez, Juan Manuel |
author_sort |
Paz Santana, Juan Francisco de |
title |
Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction |
title_short |
Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction |
title_full |
Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction |
title_fullStr |
Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction |
title_full_unstemmed |
Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction |
title_sort |
combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction |
publisher |
Springer Science + Business Media |
publishDate |
2010 |
url |
http://hdl.handle.net/10366/134408 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Knowledge and Information Systems. Volumen 30 (1), pp. 155-177. Springer Science + Business Media. 0219-1377 (Print) / 0219-3116 (Online) http://hdl.handle.net/10366/134408 |
op_rights |
Attribution-NonCommercial-NoDerivs 3.0 Unported https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766131548667510784 |