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Application of hybrid intelligent methods in modeling
2000 - 2003
Local supervisor: Pataki Béla
In the tasks of modeling complex systems it is typical that mathematical models are not applicable or such models have only limited value. Due to the complexity and the hardly measurable parameters of the physical equations characterizing such systems the precise physical model is hard to construct. In several such cases there is a possibility to make qualitative models based partly on physical laws partly on the heuristic knowledge of the professionals. Beyond these two sources the collected empirical data could be used in the modeling task.