Abstract
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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Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 27–38, May–June, 2014.
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Oliinyk, A.O., Zayko, T.A. & Subbotin, S.O. Synthesis of Neuro-Fuzzy Networks on the Basis of Association Rules. Cybern Syst Anal 50, 348–357 (2014). https://doi.org/10.1007/s10559-014-9623-7
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DOI: https://doi.org/10.1007/s10559-014-9623-7