Mathematical modeling and neural network prediction of the structure and dynamics of human capital of the Russian Federation

Ketova, Karolina; Rusyak, I. G.; Vavilova, Daiana

doi:10.17223/19988605/53/2

Cited by 3 publications

(2 citation statements)

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“…The complex nature of the market economy stimulates using of more serious methods of analyzing its theoretical and practical problems [6]. Using of mathematical tools becomes an effective method of studying economic phenomena and processes [7], adding validity and objectivity.…”

Section: Introductionmentioning

confidence: 99%

Game Reproduction of the Queuing System as an Economic Laboratory Experiment

Faizullin

2021

SHS Web Conf.

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This article presents the results of an economic laboratory experiment based on a queuing system. The “classical” problem of the theory of mass service, known as the Erlang problem, with the aim of studying the behavioral theory of games reproduced in this article. It is based on the theory of queuing, which allows the company to avoid inefficient organization of customer service. Considerable attention is paid to the provisions of the behavioral theory of games as a method of making management decisions and their practical application. A mathematical model of decision making studied by queuing theory was compiled. There are Conclusions about the behavior in real economic situations. The experiment presented in the form of a game can be used as an original method of teaching economics.

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Section: Introductionmentioning

confidence: 99%

Game Reproduction of the Queuing System as an Economic Laboratory Experiment

Faizullin

2021

SHS Web Conf.

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“…Since human capital is a leading factor in scientific, technical and socio-educational progress, it makes necessary to take it into account when building strategies for optimal management of regional economic systems. The ranking of the factors determining the rate of this progress in the current conditions is presented, for example, in papers: Morozov (2017), Ketova et al (2020), Rusyak et al (2020).…”

Section: Introductionmentioning

confidence: 99%

The Population Health And The Environment Quality: Construction Of Mathematical Assessments

Ketova¹

2021

European Proceedings of Social and Behavioural Sciences

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Development of an effective adaptive forecasting system based on the combination of neural network and genetic algorithm

Ketova

Kasatkina

Vavilova

2021

J. Phys.: Conf. Ser.

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The paper is presented an effective adaptive forecasting system based on combining mathematical modeling tools, including neural networks and genetic algorithm. The construction of the neural network structure that is best relative to the selected criterion makes it possible to improve the procedure for finding a solution to the problem in terms of a number of parameters. Each individual in the genetic algorithm is encoded as a vector with data on the number of neurons on the intermediate layers of the neural network. The evolution of the population occurs in the genetic algorithm, information in the chromosomes changes as a result of the probabilistic application of genetic operators. As a result, such a structure of the neural network is formed, at which the convergence to a given level of error of 1.0% is the fastest. Applied calculations were carried out on the monthly statistical data of investments in human capital (education, healthcare and culture) of the Udmurt Republic. The proposed adaptive system, applied to the construction of forecasts of socio-economic indicators, can be used in the construction of development strategies both at the regional level and at the country level.

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Mathematical modeling and neural network prediction of the structure and dynamics of human capital of the Russian Federation

Cited by 3 publications

References 0 publications

Game Reproduction of the Queuing System as an Economic Laboratory Experiment

Game Reproduction of the Queuing System as an Economic Laboratory Experiment

The Population Health And The Environment Quality: Construction Of Mathematical Assessments

Development of an effective adaptive forecasting system based on the combination of neural network and genetic algorithm

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