Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Neuro-Fuzzy Models Synthesis Based on Unstructured Data

Zayko T.1, Oliinyk A.1, Subbotin S.3
1 Zaporizhzhya National Technical University
3 Zaporizhzhya National Technical University

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UDC: 004.93
Publication Language: Ukrainian
Stuc. intelekt. 2012; 17(4):546-556

Abstract: The methods of solving the problem of synthesis of neuro-fuzzy models are considered. The method for constructing fuzzy neural networks based on application of extracted from a given transaction database set of association rules that are used to determine the structure of neuro-fuzzy network, as well as to calculate the values of functions and accessory weights is proposed. The proposed method allows to construct a simple neuro-fuzzy models suitable for further use in practice.

Keywords: association rules, neuro-fuzzy network, diagnostics, model, pattern recognition

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