Quantifying the Ocean’s CO2 Budget with a CoHeL-IBR System
Fecha de publicación
Springer Science + Business Media
Advances in Case-Based Reasoning Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 3155, pp. 533-546.
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.
978-3-540-22882-0 (Print)/ 978-3-540-28631-8 (Online)
0302-9743 (Print) / 1611-3349 (Online)
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