BUSINESS INFORM №3-2012

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20

Section: Economic and Mathematical Modeling
Khemelyov O. H.
The principles of synthesis of associative neyromashin identification of complex economic objects (p. 71 - 75)
It is shown that the set of neural networks is more efficient in terms of accuracy than a single neural network. The different structures of neural associative machines marked with their application and ways to further improve the architectures of neural networks identification of complex economic systems.
Keywords: economic objects, neural network identification, neural associative machines
Bibl.: 9.

Khemelyov Oleksandr H. – Doctor of Sciences (Economics), Associate Professor, Head of the Department, Department of Economic Cybernetics and Information Technologies, Donbas State Technical University (84 Peremohy Ave., Lysychansk, 93100, Ukraine)
Email: [email protected]

Article is written in Russian
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Reference to this article:
Khemelyov, Oleksandr H. (2012) “The principles of synthesis of associative neyromashin identification of complex economic objects.” Business Inform 3:71–75.

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