Synthesis of Neuro-Fuzzy Networks on the Basis of Association Rules

The problem of construction of neuro-fuzzy models is considered. A method is developed for synthesizing neuro-fuzzy networks on the basis of association rules. The method uses association rules extracted from a given transactional database to determine the structure of a neuro-fuzzy network and to calculate parameters of membership functions and weight coefficients. Software tools implementing the proposed method are created. Problems of synthesizing neural-network models for technical and medical diagnostics are solved.

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