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dc.contributor.authorKravchenko, Tetianaen
dc.date.accessioned2015-05-07T17:20:35Z
dc.date.available2015-05-07T17:20:35Z
dc.date.issued2015-02
dc.identifier.issn0007-1657
dc.identifier.urihttps://ir.kneu.edu.ua:443/handle/2010/6763
dc.description.abstractThe paper studies and classifies the most important factors that are the main factors of generalized dynamic model of economic development of the economic agent as an example of the region, and proposes neural expert system with machine representation and use of knowledge by the methods of fuzzy sets theory to offset the factors of different nature in the generalized model coefficients.en
dc.language.isoenuk
dc.publisherBritish Journal of Science, Education and Culture, 2015, No.1. (7) (January-June). Volume III. “London University Press”uk
dc.relation.ispartofseriesNo.1. (7);
dc.subjecteconomic agenten
dc.subjectdynamic modelen
dc.subjectgeneralized factor of fuzzy modelingen
dc.titleFor the General Coefficients of Dynamic Models of Economic Development Region on the Basis Of Neuro Fuzzy Expert Systemsen
dc.typeArticleuk


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