Citation: Сенин А.С., Лясников Н.В. (2019). Принятие управленческих решений в кризисных ситуациях на основе нейронной сети «дерево решений». Creative Economy, 9(1), 98-110. doi: 10.18334/ecsoc.9.1.40541
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References: 1. Poddubnyy V.V., Shevelyov O.G. Sravnenie stiley tekstovyh proizvedeniy po chastotnomu priznaku na osnove gipergeometricheskogo kriteriya // Teoreticheskaya i prikladnaya informatika / pod red. prof. A.F. Terpugova. Tomsk: izd-vo Tom. un-ta, 2004. Vyp. 1. S. 101–109.
2. Shevelyov O.G. Tyuterev V.V. Mnogosloynye pertseptrony v zadache razresheniya spornogo avtorstva teksta // Sbornik trudov nauchno-tekhnicheskoy konferentsii «Neyroinformatika-2003», 29–31 yanvarya 2003 g., Moskva. M.:MIFI, 2003, Ch. 2. S. 206–212.
3. Nikishov S.I. Primenenie nechetkoy kompozitsii dlya modelirovaniya logisticheskikh potokov // Voprosy innovatsionnoy ekonomiki. 2017. Tom 7. № 3. S. 247–256. doi: 10.18334/vinec.7.3.38197. 4. Tyuterev V.V., Novoseltsev V.B. Teoriya neyronnyh setey. Tomsk: izdvo Tomskogo gosudarstvennogo universiteta, 2000. 56 s.
5. Luizova L.A. Ot postanovki zadachi do prinyatiya resheniya. Petrozavodsk: izd-vo PetrGU, 2002.
6. Kharasova A.S., Blazhenkova N.M. Tekhnologiya prinyatiya upravlencheskikh resheniy v teorii i praktike menedzhmenta // Liderstvo i menedzhment. 2015. Tom 2. № 2. S. 99–110. doi: 10.18334/lim.2.2.598.
7. Tyunik O.R., Pankina T.V. Prinyatie resheniy v khozyaystvennoy deyatelnosti torgovyh organizatsiy v usloviyakh riska // Torgovo-ekonomicheskiy zhurnal. 2015. Tom 2. № 3. S. 141–150. doi: 10.18334/ tezh.2.3.592.
8. Uossermen F. Neyrokompyyuternaya tekhnika. M.: Mir, 1992.
9. Korotkiy S. Neyronnye seti: algoritm obratnogo rasprostraneniya [Elektronnyy resurs]. Rezhim dostupa: http://www.orc.ru/ stasson/ n2.zip, svobodnyy.
10. Ezhov A.A, Shumskiy S.A. Neyrokompyyuting i ego prilozheniya v ekonomike i biznese [Elektronnyy resurs]. Rezhim dostupa: http://soft. neurok.ru/pub/lectures.shtml, svobodnyy.
11. Shevelyov O.G.,Petrakov A.V. Klassifikatsiya tekstov s pomoschyyu derevyev resheniy i neyronnyh setey pryamogo rasprostraneniya // Vestnik TGU. Tomsk: izd-vo Tom. un-ta, 2005.
12. Gluschenko V.V., Gluschenko I.I. Teoreticheskie aspekty predupreditelnogo antikrizisnogo upravleniya v korporatsiyakh // Liderstvo i menedzhment. 2017. Tom 4. № 4. S. 169–188. doi: 10.18334/lim.4.4.38373.
13. Marsden T., Sonnino R. Rural development and the regional state: Denying multifunctional agriculture in the UK // Journal of Rural Studies. 2008. Vol. 24. No. 4. P. 422–431.
14. Reshetov K.Yu., Khoroshavina N.S., Mysachenko V.I., Komarov V.Yu., Timofeev M.I. State policy in the area of implementation of innovations in industrial production // The Journal of Social Sciences Research. 2018. № S3. P. 271–276.
15. Cheyns E., Daviron B., Djama M., Fouilleux E., Guéneau S. The standardization of sustainable development through the insertion of agricultural global value chains into international markets // Sustainable Development and Tropical Agri-chains. Springer, Dordrecht, 2017. S. 283–303.
16. Giannakis E., Bruggeman A. The highly variable economic performance of European agriculture // Land Use Policy. 2015. Vol. 45. P. 26–35.