MATEC Web Conf.
Volume 265, 2019International Geotechnical Symposium “Geotechnical Construction of Civil Engineering & Transport Structures of the Asian-Pacific Region” (GCCETS 2018)
|Number of page(s)||6|
|Section||Construction Management and Economics|
|Published online||30 January 2019|
Modelling of innovative environment of Industrial complexes due to neural networks and genetic algorithm
Voronezh Technical State University, 14, Moskovsky Av., Voronezh, 394026, Russia
2 Moscow Suvorov Military School, 11, Twisting Journey, Moscow, 129329, Russia
* Corresponding author: firstname.lastname@example.org
One of key factors of innovative development is the availability of favorable innovative environment, ensuring the transformation of ideas and developments into market products, introduction of these products into most important branches of economics and social sphere, as well as allowing saving the unique set of scientific and engineering schools. But the key problem for implementation of effective innovations is the absence of favorable environment and innovative climate, promoting creation of innovations, ensuring the growth of global competitive ability, labor productivity and life quality of population. Thus the formation and development of innovative environment as the most important condition for implementation of effective innovations represents by itself the actual scientific task, having significant national economic meaning. There are considered the aspects of use of neural networks of attractors and genetic algorithm for the processes of industrial complexes innovative environment modelling. Key problem of implementation of effective industrial innovations is the absence of the favorable development and climate environment, stimulating the creation of innovations ensuring the growth of global competitive ability, labor efficiency and life quality of population. Thus, the managing of development environment of industrial complexes represents by itself an actual task.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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