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Título
Neuro-symbolic Reasoning System for Modeling Complex Behaviours.
Autor(es)
Materia
Computer Science
Fecha de publicación
2003
Editor
Advanced Knowledge International, Australia
Citación
Innovation in knowledge Engineering.
Resumen
A neuro-symbolic reasoning strategy for modelling a complex system is presented in which the aim is to forecast, in real time, the physical parameter values of a dynamic environment: the ocean. In 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 a case-based reasoning system, in combination with an artifical neural network, can provide a more effective means of performing such predictions than other connectionist or symbolic techniques. The case-based reasoning system incorporates a radial basis function artificial neural network for the case adaptation. The results obtained from experiments, in which the system operated in real time in the oceanographic environment, are presented.
URI
ISBN
0-9751004-0-8
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