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Título
Quantifying the Ocean’s CO2 Budget with a CoHeL-IBR System
Autor(es)
Assunto
Computer Science
Fecha de publicación
2004/08
Editor
Springer Science + Business Media
Citación
Advances in Case-Based Reasoning Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 3155, pp. 533-546.
Resumen
By improving accuracy in the quantification of the ocean’s CO2 budget, a more precise estimation can be made of the terrestrial fraction of global CO2 budget and its subsequent effect on climate change. First steps have been taken towards this from an environmental and economic point of view, by using an instance based reasoning system, which incorporates a novel clustering and retrieval method – a Cooperative Maximum Likelihood Hebbian Learning model (CoHeL). This paper reviews the problems of measuring the ocean’s CO2 budget and presents the CoHeL model developed and outlines the IBR system developed to resolve the problem.
URI
ISBN
978-3-540-22882-0 (Print)/ 978-3-540-28631-8 (Online)
ISSN
0302-9743 (Print) / 1611-3349 (Online)
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