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Evolution Methods of Formation of Neuronet Models of Complex Economic Systems

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  • Khemelyov Oleksandr H.

    ()
    (Donbas State Technical University)

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    Abstract

    The article analyses principles of formation of neuronet models of complex economic systems. It justifies prospectiveness of use of artificial intellect methods when modelling complex economic systems. It shows a possibility of use of evolution methods when forming neuronet models of complex economic systems for ensuring invariance of their generalising properties. It offers an algorithm with a genome from operons of fixed length. It considers all operons from the point of view of functional positions. It notes a specific feature of the algorithm, which allows excluding anthropogenic factors when selecting the neuronet models architecture. It proves adequacy of the formed neuronet models of complex economic systems.

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    File URL: http://www.business-inform.net/pdf/2014/1_0/69_73.pdf
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    Bibliographic Info

    Article provided by RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics in its journal Business Inform.

    Volume (Year): (2014)
    Issue (Month): 1 ()
    Pages: 69_73

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    Handle: RePEc:idp:bizinf:y:2014:i:1:p:69_73

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    Web page: http://www.business-inform.net

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    Keywords: economic system; business process; neuronet models; evolution methods;

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