Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The primacy of economic growth is that it is a key condition for improving the well-being of society. Therefore, almost any country in the world should strive to achieve stable and high rates of growth. Russia is no exception, but at present it can not boast of special successes in this area. The present study is devoted to the identification of factors that inhibit the growth of its economy to some extent, as well as to the search for possible ways to combat them. In the course of its implementation, it was revealed that some scientists refer to these factors as low labor productivity and a high level of shadow employment. With the help of regression analysis, the author proved the reliability of all these judgments and proposed recommendations, the introduction of which may improve the values of the studied indicator.
Anisimov Andrey Leonidovich. 2020. \u201cWays to Accelerate Russia’s Economic Growth\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 20 (GJMBR Volume 20 Issue B7): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Unknown
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Anisimov Andrey Leonidovich, Mikhail A. Kombarov (PhD/Dr. count: 0)
View Count (all-time): 130
Total Views (Real + Logic): 2310
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Publish Date: 2020 06, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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The primacy of economic growth is that it is a key condition for improving the well-being of society. Therefore, almost any country in the world should strive to achieve stable and high rates of growth. Russia is no exception, but at present it can not boast of special successes in this area. The present study is devoted to the identification of factors that inhibit the growth of its economy to some extent, as well as to the search for possible ways to combat them. In the course of its implementation, it was revealed that some scientists refer to these factors as low labor productivity and a high level of shadow employment. With the help of regression analysis, the author proved the reliability of all these judgments and proposed recommendations, the introduction of which may improve the values of the studied indicator.
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