Perova V.I.National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation perova_vi@mail.ru
Zaitseva K.V.National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation mmep@iee.unn.ru
Importance The introduction of advanced technologies is associated with the level of innovative development of regions of the Russian Federation. Expenditures in technological innovation are of particular importance in the statistics of innovation in view of economic importance of the latter. Objectives The paper aims to study trends in innovation activity of Russian regions using neural networks. Methods We apply neural simulation on the basis of neural networks that are trained without a teacher, namely, Kohonen self-organizing maps realized in the Viscovery SOMine software package. Results The research identified the nature of changes in innovative indicators of Russian regions and showed their innovative development disparity. The regions were distributed in four clusters (groups) by the level of this activity. Cores with invariable composition of regions were formed in all clusters during the period under investigation. Most of the regions are included in the core of cluster with significantly lower rates of innovation activity as compared to the average values across Russia. Conclusions and Relevance The results of the research have practical importance for formation and implementation of innovation policy of Russian regions. The analysis of trends in innovation activity leads to conclusion that it is necessary to adopt a set of measures to boost innovative processes countrywide, especially in regions with underdeveloped innovation.
Kleiner G.B., Mishurov S.S., Erznkyan B.A. et al. Innovatsionnoe razvitie regiona: potentsial, instituty, mekhanizmy: monografiya [Innovative development of the region: Capacity, institutions, mechanisms: a monograph]. Ivanovo, ISU Publ., 2011, 198 p.
Makarov V.L. [Overview of mathematical models of innovation economy]. Ekonomika i matematicheskie metody = Economics and Mathematical Methods, 2009, vol. 45, no. 1, pp. 3–14. (In Russ.)
Eletskikh G.G. [Technological innovation as a factor in increasing the competitiveness of firms and a foundation of modern business development in Russia]. Voprosy innovatsionnoi ekonomiki = Russian Journal of Innovation Economics, 2012, no. 1, pp. 3–10. (In Russ.)
Trifonova E.Yu., Prikazchikova Yu.V. [Evaluation of innovative development of Russian economy]. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo = Vestnik of Lobachevsky State University of Nizhny Novgorod, 2011, no. 5, part 2, pp. 215–221. (In Russ.)
Boldyrevskii P.B., Kistanova L.A. [Evaluating the effectiveness of innovative activity of industrial enterprises]. Aktual'nye voprosy nauki = Topical Issues of Science, 2014, no. 12, pp. 65–69. (In Russ.)
Chaldaeva L.A. [Financial and economic incentives for innovation-driven economy]. Vestnik MGTA = Bulletin of Moscow Academy of Humanities and Technology, 2009, no. 3-4, pp. 120–132. (In Russ.)
Bednyi A.B., Bednyi B.I., Grudzinskii A.O., Plekhova Yu.O. [The role and structure of innovative entrepreneurial education in research university]. Universitetskoe upravlenie: praktika i analiz = University Management: Practice and Analysis, 2012, no. 3, pp. 56–63. (In Russ.)
Sitnikova I.S., Romanova M.S., Shmatko A.D. [Development of small innovative enterprises in academic institutions in conditions of technological platforms formation]. Intellektual'naya sobstvennost'. Promyshlennaya sobstvennost' = Intellectual Property. Industrial Property, 2014, no. 8, pp. 35–42. (In Russ.)
Misbakhova Ch.A. [Econometric modeling of institutions for innovation development at mesolevel]. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo. Ser.: Sotsial'nye nauki = Vestnik of Lobachevsky State University of Nizhny Novgorod. Social Sciences, 2016, no. 3, pp. 48–56. (In Russ.)
Gorbunova M.L., Elizarova N.K. [Analysis of results of regional innovation system functioning in the Nizhny Novgorod oblast]. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo = Vestnik of Lobachevsky State University of Nizhny Novgorod, 2012, no. 2, part 2, pp. 42–46. (In Russ.)
Kudryavtseva S.S. [A comparative analysis of innovative development of European Union countries and Russia (under the European innovation scoreboard methodology) – problems of raw economies]. Vestnik Kazanskogo tekhnologicheskogo universiteta = Herald of Kazan Technological University, 2012, no. 19, pp. 204–208. (In Russ.)
Aksenov S.V., Novosel'tsev V.B. Organizatsiya i ispol'zovanie neironnykh setei (metody i tekhnologii) [Organization and use of neural networks (methods and technologies)]. Tomsk, NTL Publ., 2006, 128 p.
Sinha S., Singh T.N., Singh V.K., Verma A.K. Epoch Determination for Neural Network by Self-Organized Map (SOM). Computational Geosciences, 2010, vol. 14, iss. 1, pp. 199–206. doi: 10.1007/s10596-009-9143-0
Peng Lifang, Lai Lingling. A Service Innovation Evaluation Framework for Tourism E-Commerce in China Based on BP Neural Network. Electronic Markets, 2014, vol. 24, iss. 1, pp. 37–46. doi: 10.1007/s12525-013-0148-0
Ezhov A.A., Shumskii S.A. Neirokomp'yuting i ego primenenie v ekonomike i biznese [Neurocomputing and its application in economics and business]. Moscow, MEPhI Publ., 1998, 224 p.
Ovsyannikov V.S. [On management of innovative projects using neural networks]. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta = Vestnik of Kuzbass State Technical University, 2013, no. 3, pp. 86–87. (In Russ.)
Jones M.T. Programmirovanie iskusstvennogo intellekta v prilozheniyakh [AI Application Programming]. Moscow, DMK Press Publ., 2011, 312 p.
Shalamov A.V., Mazein P.G. [Neural networks as a new approach to technological equipment management]. Izvestiya Chelyabinskogo nauchnogo tsentra Ural'skogo otdeleniya Rossiiskoi akademii nauk = Proceedings of Chelyabinsk Scientific Center of Ural Branch of RAS, 2003, vol. 1, pp. 60–64. (In Russ.)
Schmidhuber J. Deep Learning in Neural Networks: An Overview. Neural Networks, 2015, vol. 61, pp. 85–117. doi: 10.1016/j.neunet.2014.09.003
Lazarev V.M., Sviridov A.P. Neiroseti i neirokomp'yutery: monografiya [Neural networks and neurocomputers: a monograph]. Moscow, Akademiya Publ., 2011, 131 p.
Illarionov M.G., Kirpichnikov A.P., Latypova R.R. [Forecasting based on neural networks]. Vestnik Kazanskogo tekhnologicheskogo universiteta = Herald of Kazan Technological University, 2012, vol. 15, no. 1, pp. 163–164. (In Russ.)
Shiryaev V.I. Finansovye rynki: Neironnye seti, khaos i nelineinaya dinamika [Financial markets: Neural networks, chaos and nonlinear dynamics]. Moscow, Librokom Publ., 2016, 232 p.
Tavan P., Grubmüller H., Kühnel H. Self-organization of associative memory and pattern classification: Recurrent signal processing on topological feature maps. Biological Cybernetics, 1990, vol. 64, iss. 2, pp. 95–105. doi: 10.1007/BF02331338
Callan R. Osnovnye kontseptsii neironnykh setei [The Essence of Neural Networks]. Moscow, Vil'yams Publ., 2001, 287 p.
Debok G., Kohonen T. Analiz finansovykh dannykh s pomoshch'yu samoorganizuyushchikhsya kart [The Analysis of Financial Data Using Self-Organizing Maps]. Moscow, Al'pina Publ., 2001, 317 p.
Obrazovatel'naya geodemografiya Rossii: monografiya [Educational geodemography of Russia: a monograph]. Moscow, Modern University for Humanities Publ., 2011, 224 p.
Matraeva L.V. Raspredelenie pryamykh inostrannykh investitsii v regiony Rossiiskoi Federatsii: monografiya [Distribution of foreign direct investments to regions of the Russian Federation: a monograph]. Moscow, Dashkov i K Publ., 2013, 192 p.
Matraeva L.V. Metodologiya statisticheskogo analiza investitsionnoi privlekatel'nosti regionov RF dlya inostrannykh investorov: monografiya [A methodology for statistical analysis of investment attractiveness of Russian regions for foreign investors: a monograph]. Moscow, Dashkov i K Publ., 2013, 312 p.
Ilyshev A.M., Bagirova A.P. Vvedenie v reproduktivistiku: stanovlenie nauki o vosproizvodstve cheloveka: monografiya [Introduction to the study of reproduction: Formation of the science of human reproduction: a monograph]. Moscow, Finansy i statistika Publ., 2014, 304 p.
