Open Access
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
Article Number 01031
Number of page(s) 3
Section Session 1: Robotics
Published online 05 September 2017
  1. A.D. Brents, Automatic control systems in oil-and-gas industry. – Moscow: Nedra, (1982). 27 p. [Google Scholar]
  2. Y.A. Balakirov, L.V. Kapushchak, E.A. Slepyan, Optimal control of oil production processes. -Kiyev: TECHNICS, (1987). 119 p. [Google Scholar]
  3. S.A. Alyokhin, S.G. Kipnis, V.A. Orudzhev, A.K. Ostrovskaya, Automatization of intermittent functioning well. - M.: Nedra. (1980). 32 p. [Google Scholar]
  4. Frequency converters for a well pump [On-line resource]. Access: [Google Scholar]
  5. S.V. Kononov, S. Ya. Korovin, Neftyanoe khozyaystvo – Oil Industry, 2006, no. 10, pp 10–14 [Google Scholar]
  6. G.A. Galuev, Ya. S. Korovin, S. Ya. Korovin, S.N. Matveev, Radiotechnika, (2006), no. 3, pp. 42–49. [Google Scholar]
  7. Ya. S. Korovin, Neftyanoe khozyaystvo – Oil Industry, (2007), no. 1, pp 80–85. [Google Scholar]
  8. D.P. Wasserman, Neural computing: theory and practice, Van Nostrand Reinhold, (1989), 220 p. [Google Scholar]
  9. W.A.S. Clearning, H.G. Zimmermann, R. Neuneier, Neural networks in financial engineering. Proceedings of the Third International Conference on Neural Networks, (1996). [Google Scholar]
  10. Neural networks. STATISTICA Neural Networks, Moscow: Goryachaya liniya-Telecom Publ., (2000), 182 p. [Google Scholar]
  11. R. Feraud, F. Clerot, J.L. Simon, D. Pallou, C. Labbe, S. Martin, Kalman and neural network approaches for the control of a vp bandwidth in an atm network. Lecture Notes in Computer Science. Springer-Verlag Gmb. (2000). Vol. 1815, p. 0655. [CrossRef] [Google Scholar]
  12. Ju. A. Perez-Ortiz, Ju. Schmidhuber, F.A. Gers, D. Eck, Improving long-term online prediction with decoupled extended kalman filters. Lecture Notes in Computer Science. Springer-Verlag Gmb. (2002). Vol. 2415, p. 1055. [CrossRef] [Google Scholar]
  13. Ju. R. Rabunal, Ju. Dorado, A. Pazos, D. Rivero, Rules and generalization capacity extraction from ann with gp, Lecture Notes in Computer Science, Springer-Verlag Gmb, (2003). Vol. 2686, pp. 606–613. [CrossRef] [Google Scholar]
  14. E. Cantu-Paz, Pruning neural networks with distribution estimation algorithms, Lecture Notes in Computer Science, Springer-Verlag Gmb, (2003). Vol. 2723, pp. 790–800. [CrossRef] [Google Scholar]
  15. I.S. Korovin, M.V. Khisamutdinov, A.I. Kaliaev, The Application of Evolutionary Algorithms in the Artificial Neural Network Training Process for the Oilfield Equipment Malfunctions’ Forecasting, 2nd International Symposium on Computer, Communication, Control and Automation (3CA 2013), Proccedings, pp. 253–257. [Google Scholar]

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