MATEC Web Conf.
Volume 79, 2016VII Scientific Conference with International Participation “Information-Measuring Equipment and Technologies” (IME&T 2016)
|Number of page(s)||12|
|Published online||11 October 2016|
A Neural Network Measurement of the Level and Pace of Global Economic and Technological Development
National research Tomsk State University, 634050, Tomsk, Russia
* Corresponding author: email@example.com
The article considers the problem of measuring the level and rate of technical and economic development of countries in terms of technological change. Advantages of cognitive neural network approach to monitoring and quality analysis for integrating into a single model of economic, scientific-technological, innovative and other quantitative and qualitative components of growth, not amenable to traditional statistical analysis, with calculation of the forecast evaluation time of the reference trajectory of technical and economic development. Presents the results of the calculations. To improve the accuracy of the model trajectories are encouraged to use self-organizing Kohonen maps.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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