Omelyanenko V. A., Volodin D. V. Basics of technological systems analysis based on neural networks

Economic Processes Management: International Scientific E-Journal. 2017. № 2
Section: Innovation and investment processes in economic systems

Cite this article:
Omelyanenko V. A., Volodin D. V. (2017). Basics of technological systems analysis based on neural networks, Economic Processes Management: International Scientific E-Journal, 2, Retrieved from: http://epm.fem.sumdu.edu.ua/download/2017_2/epm2017_2_4.pdf

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Authors:
Omelyanenko Vitaliy Anatolievich
PhD (Econ.), Prof. Assistant of Economic Theory Department,
Sumy State University, Ukraine

Volodin Dmitriy Vladinirovich
PhD (Eng.), Project Manager,
FARADI SRL, Italy

Abstract:
The article deals with the methodological basis of research of technological systems. In the framework of research methodology development the basic structural characteristics of technological systems and basic elements of internal dynamics based on external impulses were analyzed. The expediency of use for research of technological systems the model biotic neuron is substantiated and appropriate methodological approach for creating neural network based on it is proposed.

Keywords:
technological system, neural network, impulse neuron, biotic model

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