Calculation of a Complex Indicator of the Innovation Potential

Сазонова, Анна; Kuz'menko, Aleksandr; Terekhov, M.V.

doi:10.1088/1757-899x/753/4/042028

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…In Russia, despite the financial market turbulence due to the instability of investment flows of both domestic and foreign capitals, as well as the difficult political situation, there is a powerful neurocomputer, which is used by the Central Bank, the Local Compliance Service, and more than 30 Russian banks. Computing systems based on neural networks have also found application on the stock exchanges of the United States and Japan [9,11].…”

Section: Analysis Of the Results Of Previous Workmentioning

confidence: 99%

Development of an Information and Analytical System for Predicting Price Fluctuations and Long-Term Trends Using Generative-Adversarial Neural Networks

et al. 2021

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Deep learning methods (DML) have been widely used in financial fields recently, such as stock market forecasting, balance the portfolio, financial information processing, and transaction execution strategies. Stock market forecasting and effective trading strategy construction, when using deep learning, are the most popular ways of applying DML in the field of finance. Against the background of the general development of the Russian stock market, the study and investigation of its price dynamics is a highly promising direction for analyzing and forecasting the value of financial assets in which it is planned to invest money. In this study, a new architecture of a conditional generative-adversarial neural network (GAN) with a multi-level perceptron (MLP) as a discriminator and a long short-term memory (LSTM) as a generator for determining trends is proposed. The Box-Jenkins method (ARIMA) is used to determine the confidence interval.

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Section: Analysis Of the Results Of Previous Workmentioning

confidence: 99%

Development of an Information and Analytical System for Predicting Price Fluctuations and Long-Term Trends Using Generative-Adversarial Neural Networks

et al. 2021

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“…This indicator divides countries into two groups: the ones with a high influence of the higher education sector -the share of employment in the sector is about 50 % or more, and the others with less influence -the share of employment in the sector is less than 40 %. The first group includes the post-socialist countries of the EU: Poland, Estonia, Lithuania and Latvia, while the countries of the second group include Germany, Sweden, Denmark, Finland, Norway and Russia 9 .…”

Section: Labour Resources Of Stpmentioning

confidence: 99%

“…Having analyzed the indicators of scientific and technological space, most authors from the former USSR countries pay attention to the volume of investments in science [5; 8] and HR [3; 8], as well as some other indicators, such as a number of patents [8]. Certain studies offer complex integral indicators derived from expert assessment [9].…”

Section: Introductionmentioning

confidence: 99%

A typology of the Baltic region states according to excellence in science and technology

Azhinov

Lapshova

2023

Balt. Reg.

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Global manufacturing systems function in such a way that countries develop industrial specialisation, which leads to territorial disparities. The countries of the Baltic region are no exception despite their strong economic ties and developed industries. A significant element of any manufacturing system is its scientific and technological subsystem, which is described in this article for ten countries (Germany, Sweden, Denmark, Norway, Finland, Poland, Estonia, Latvia, Lithuania and Russia), based on an analysis of a clustered set of national characteristics: R&D financing and staffing in the scientific and technological subsystem. A total of ten indicators, absolute and relative, are investigated. The study relies on combined grouping, graphical and cluster analysis to build a typology of countries and distinguish their types according to their scientific and technological excellence As a result, a typology of the countries of the Baltic Sea region has been proposed and types of countries with similar characteristics have been identified: the two main types are traditional market economies and post-socialist countries, whose common features are observed in all sets of main characteristics. Several subtypes are described as well. The research draws on 2010—2019 (2020) statistical data from the European Statistical Office (Eurostat), the Organization for Economic Co-operation and Development (OECD) and Russia’s Federal State Statistics Service (Rosstat).

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“…Simulation is a research method in which a real system is replaced by a model that is being experimented with in order to obtain information about this system. One of the main advantages of this method is the ability to reproduce the system under study many times and determine its optimal state [2,6,7]. AnyLogic is used as a simulation modelling environment in the study.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Traffic Stream Using Simulation Tools

Filippov¹,

Filippova²,

Sazonova³

et al. 2020

Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020)

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The article deals with the analysis and research of traffic stream intensity. The main points of developing and testing a simulation model of transport streams in AnyLogic are studied. An algorithm for conducting an optimization experiment is proposed and recommendations are made for optimizing traffic on the example of a single intersection in Bryansk. The proposed integrated approach allows to reduce transport and pedestrians' delays on busy roads due to the reconfiguration of traffic lights and optimization of public transport.

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Calculation of a Complex Indicator of the Innovation Potential

Cited by 3 publications

References 1 publication

Development of an Information and Analytical System for Predicting Price Fluctuations and Long-Term Trends Using Generative-Adversarial Neural Networks

Development of an Information and Analytical System for Predicting Price Fluctuations and Long-Term Trends Using Generative-Adversarial Neural Networks

A typology of the Baltic region states according to excellence in science and technology

Optimization of Traffic Stream Using Simulation Tools

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