Natural Microbial Community Compositions Compared by a Back-Propagating Neural Network and Cluster Analysis of 5S rRNA.

Subject. The article addresses a strategy for socio-economic development of the region. Objectives. The purpose is to define contradictions and opportunities to achieve the expected results of the "Strategy of Socio-economic Development of the Chuvash Republic until 2035". Methods. The study rests on the systems approach, using the methods of statistical, neural network, and cluster analysis. Results. The statistical analysis of trends in expected outcomes of the Strategy implementation enabled to build a median hierarchy of their growth rates, where the indicator of an increase in the number of visits to cultural institutions is a priority in setting the goals for the region’s development. The neural network analysis demonstrates the importance of the growth rate of real accrued wages of employees of organizations and the insignificant value of the increase in the number of visits to cultural institutions for effective achievement of all objectives of the Strategy. The cluster analysis shows the importance of growth rates of indicators of the proportion of organizations engaged in technological innovations, and the proportion of shipped innovative products. The analysis of growth rates of GRP and expenditures of the consolidated budget of the Chuvash Republic reveals a decrease in the cyclical lag of the first dynamic pattern from the second one. Conclusions. For the Chuvash Republic, a strategic priority is to overcome the GRP growth limit through the innovative development of backbone areas of economic activity.

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Application of Neural Network and Cluster Analysis in Anomaly Detection

Communications in Computer and Information Science - Network Computing and Information Security ◽

10.1007/978-3-642-35211-9_9 ◽

2012 ◽

pp. 63-69

Author(s):

Xudong Wu ◽

Bingxiang Liu ◽

Yingxi Li

Keyword(s):

Neural Network ◽

Cluster Analysis ◽

Anomaly Detection ◽

And Cluster Analysis

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Research of neural network algorithm based on factor analysis and cluster analysis

Neural Computing and Applications ◽

10.1007/s00521-010-0416-2 ◽

2010 ◽

Vol 20 (2) ◽

pp. 297-302 ◽

Cited By ~ 13

Author(s):

Shifei Ding ◽

Weikuan Jia ◽

Chunyang Su ◽

Liwen Zhang ◽

Lili Liu

Keyword(s):

Neural Network ◽

Cluster Analysis ◽

Factor Analysis ◽

Network Algorithm ◽

Neural Network Algorithm ◽

And Cluster Analysis

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Determining the conditions for sustainable development of the Russian economy

Economic Analysis Theory and Practice ◽

10.24891/ea.19.11.2093 ◽

2020 ◽

Vol 19 (11) ◽

pp. 2093-2115

Author(s):

V.V. Smirnov

Keyword(s):

Neural Network ◽

Cluster Analysis ◽

Sustainable Development ◽

Systems Approach ◽

Political Stability ◽

Russian Economy ◽

Globalizing World ◽

The Neural Network ◽

Development Goals ◽

And Cluster Analysis

Subject. The article addresses conditions for sustainable development of the Russian economy. Objectives. The purpose is to link the limit of sustainability of the Russian economy with required conditions. Methods. The study draws on the systems approach, using the methods of statistical, neural network, and cluster analysis. Results. I describe scientific ideas about sustainable development of economy, which have been developed in theoretical and practical activities. The World Bank data on environment, social affairs and governance on 17 key sustainable development topics, covering environmental, social and management categories, are used to determine conditions for sustainability of the Russian economy. The neural network analysis of the importance of indicators’ rate of increment shows a hierarchy of priorities. The cluster analysis of indicators’ rate of increment identifies significant clusters. The analysis of key priorities of sustainable development of the Russian economy enables to reveal significant deviations in political stability and in access to electricity. Conclusions. Conditions for sustainable development of the Russian economy are determined by their proximity to the United Nations Sustainable Development Goals. Identifying these conditions in the globalizing world creates an understanding of the real limit and opportunities of the country's development.

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