Hybrid Instance-bsed system for predicting ocean temperatures
Fecha de publicación
World Scientific Pub Co Pte Lt
Int. J. Comp. Intel. Appl.. Volumen 01 (01), pp. 35-52. World Scientific Pub Co Pte Lt.
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.
1469-0268 (Print) / 1757-5885 (Online)
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