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News of the Kabardin-Balkar scientific center of RAS, 2012, Issue 4, Pages 44–49
(Mi izkab561)
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This article is cited in 1 scientific paper (total in 1 paper)
COMPUTER SCIENCE. NANOTECHNOLOGY
Stochasticity and fractality of prototypes of neural
network models of economic phenomena
L. A. Gaboeva, Yu. Kh. Khamukov Institute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of Sciences,
360000, KBR, Nalchik, 37-a, I. Armand street
Abstract:
Modeling of economic phenomena aims to prevent threats of not-humanistic behavior of spontaneously formed associations of powerful hardware-software complexes. Models of economic agents - proactive elements of dissipative systems – created on the basis of neural network technology, will allow to forecast the evolution of the economic system - biogeocenosis. Phenomenological approach is used to
examine the properties of the manifold formed by such models-agents.
Keywords:
pro-activity, geobiocenosis, entropy, ecosystem, irreversibility.
Received: 25.05.2012
Citation:
L. A. Gaboeva, Yu. Kh. Khamukov, “Stochasticity and fractality of prototypes of neural
network models of economic phenomena”, News of the Kabardin-Balkar scientific center of RAS, 2012, no. 4, 44–49
Linking options:
https://www.mathnet.ru/eng/izkab561 https://www.mathnet.ru/eng/izkab/y2012/i4/p44
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Abstract page: | 32 | Full-text PDF : | 2 | References: | 7 |
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