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NEURAL NETWORK METHODS AND ALGORITHMS OF MANAGEMENT IN SOCIO-ECONOMIC SYSTEMS

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PDF: Author(s): Tokarev K. E.,
Number of journal: 2(35) Date: May 2016
Annotation:

The article examines the possibilities of application of algorithms and mathematical means of neural network models in the problems of management of socio-economic systems. The author analyzes the current approaches to modeling management of socio-economic systems, algorithm model of learning and functioning of neural networks is developed, as well as structural model of basic component of the network – the artificial neuron – is presented. In addition, opportunities are analyzed and the ways of adaptation of existing classes of one and two-layer neural network models with exogenous and endogenous signals are revealed in order to justify management decisions through the use of tools for multivariate analysis of the alternatives in problems of management in social and economic systems.

Keywords:

neural network model, socio-economic system, tools, artificial neuron, perceptron, multivariate analysis, Kohonen maps, neural network device, exogenous and endogenous signals, algorithmic model.

For citation:

Tokarev K. E. Neural network methods and algorithms of management in socio-economic systems // Business. Education. Law. Bulletin of Volgograd Business Institute. 2016. № 2 (35). P. 124–127.