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Titolo
Hybrid Instance-bsed system for predicting ocean temperatures
Autor(es)
Soggetto
Computer Science
Fecha de publicación
2001
Editore
World Scientific Pub Co Pte Lt
Citación.
Int. J. Comp. Intel. Appl.. Volumen 01 (01), pp. 35-52. World Scientific Pub Co Pte Lt.
Abstract
An instance-based problem solving model is presented in which the aim is to forecast, in real time, the physical parameter values of a complex and dynamic environment: the ocean. The situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. In such a situation it has been found that an instance-based reasoning system can provide a more effective means of performing such predictions than other connectionist or symbolic techniques. The instance-based reasoning system incorporates a radial basis function artificial neural network for the instance adaptation. The results obtained from experiments, in which the system operated in real time in the oceanographic environment, are presented.
URI
ISSN
1469-0268 (Print) / 1757-5885 (Online)
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- BISITE. Artículos [282]