Evolution Methods of Formation of Neuronet Models of Complex Economic Systems

Khemelyov Oleksandr H. ()
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Khemelyov Oleksandr H.: Donbas State Technical University

Business Inform, 2014, issue 1, 69_73

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.

Keywords: economic system; business process; neuronet models; evolution methods (search for similar items in EconPapers)
Date: 2014
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