A system input-output response is modelled using a knowledge-based method of signal processing known as fuzzy logic. The paper presents the parallel and cascade structures of the fuzzy model. Fuzzy model tuning procedures based on a neural-fuzzy model are also given. As an example, the analysis of both structures is carried out for the fuzzy modelling of parameters, which are necessary to describe the state of a pressure vessel with water-steam mixture during accidental depressurizations.
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