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1. Agamirov K.V. Legal forecasting as a factor of improvement of the Russian legal system // Zhurnal rossijskogo prava. 2018. No. 8. P. 25 - 36 (in Russ.).
2. The state development through strategic planning: actual foreign experience. Part 2 / A.V. Klimenko, V.A. Korolev, D. Yu. Dvinskikh, etc. M., 2016 (in Russ.).
3. Al'bov A.P., Shulepova I.V. Legal forecasting in the absence of a scientifically developed economic strategy // Uchenye trudy Rossijskoj akademii advokatury i notariata. 2018. No. 2. P. 16–21 (in Russ.).
4. Baranova M.V. An exception to the rules as technical and legal means of the advancing law-making // Vestnik Saratovskoj gosudarstvennoj juridicheskoj akademii. 2018. No. 1. P. 82–90 (in Russ.).
5. Berg L.N. About the main epistemic problems of modeling for legal influence // Gosudarstvo i pravo. 2018. No. 3. P. 95–98 (in Russ.).
6. The future as object of management // Ne rasstanus' s molodezh'ju, budu...: sb. nauch. st. k 80-letiju prof. Yu. R. Vishnevskogo / ed. Yu. R. Vishnevsky. Yekaterinburg, 2018. P. 121–128 (in Russ.).
7. Grasmik K.I. Innovative activity of the enterprises of the Russian industry in the conditions of an economic crisis // Problemy prognozirovanija. 2018. No. 5. P. 156–165 (in Russ.).
8. Gromov E.I. The management of sustainable development of rural territories // Jekonomika i predprinimatel'stvo. 2018. No. 4. P. 355–364 (in Russ.).
9. Zaloilo M.V. Strategic planning in ensuring efficiency of law-making // Zhurnal rossijskogo prava. 2018. No. 4. P. 43–53 (in Russ.).
10. Konina M. Features of modern geoeconomics // Mezhdunarodnye processy. 2018. No. 2. P. 186–196 (in Russ.).
11. Rudenko M.N., Dolganova Ya. A. 2018. A research and assessment of the factors influencing functioning of the regional mechanism of economic security // Nacional'nye interesy: prioritety i bezopasnost'. Vol. 14. 2018. No. 3. P. 465–479 (in Russ.).
12. Terekhova S.V., Kabanova E.E. Problems and the prospects of development of strategic planning in the Russian Federation // Novoe pokolenie. 2018. No. 15. P. 166–171 (in Russ.).
13. Khabriyeva T. Ya., Chernogor N.N. The law in the conditions of digital reality // Zhurnal rossijskogo prava. 2018. No. 1. P. 85–102 (in Russ.).
14. An application of genetic programming to economic forecasting / Li Kangshun, Zhangxin Chen, Yuanxiang Li and Aimin Zhou // Current Trends in High Performance Computing and Its Applications / ed. Wu Zhang, Weiqin Tong, Zhangxin Chen, and Roland Glowinski. Berlin, 2005. P. 71–80.
15. Gretchikhin A.A. Modern theories of economic forecasting and short-term fluctuation // Risk and uncertainty: proceedings of a conference held by the International Economic Association / ed. K. Borch and J. Mossin. London, 1968. P. 395–404.
16. Holden K., Peel D. A. Combining economic forecasts // Journal of the Operational Research Society. 1988. Vol. 39. No. 11. P. 1005–1010.
17. Lin Jian, Bangzhu Zhu. A novel kernel clustering algorithm based selective neural network ensemble model for economic forecasting // Advances in Computation and Intelligence / ed. Lishan Kang, Yong Liu and Sanyou Zeng. Berlin; Heidelberg, 2007. P. 310–315.
18. Lin Jian, Bangzhu Zhu. A novel neural network ensemble system for economic forecasting // Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques / ed. De-Shuang Huang, Laurent Heutte and M. Loog. Berlin; Heidelberg, 2007. P. 1227–1233.
19. Lin Jian, Bangzhu Zhu. Improved principal component analysis and neural network ensemble based economic forecasting // Intelligent Computing / ed. De-Shuang Huang, Kang Li and G. W. Irwin. Berlin; Heidelberg, 2006. P. 135–145.
20. Luo Da-rong, Kai-zhong Guo, Hao-ran Huang. Regional economic forecasting combination model based on RAR+SVR // Fuzzy Information & Engineering and Operations Research & Management / ed. Bing-Yuan Cao and Hadi Nasseri. Berlin; Heidelberg, 2014. P. 329–338.
21. Ozherelev V. N, Ozhereleva M. V. Cross-country comparisons as an instrument of economic forecasting // Studies on Russian Economic Development. 2018. Vol. 29. No. 4. P. 442–446.