Публикации

  1. Neural Network Approach to Signals’ Parameters Estimation in Electric Power Systems / Otto P., Babenko A., Bodyanskiy Ye., Popov S. // Proc. 55th International Scientific Colloquium. – September 13–17, 2010. – Technical University of Ilmenau. – Flash Drive. – P. 173–179.
  2. Bodyanskiy Ye. Robust Learning Algorithm for Networks of Neuro-Fuzzy Units / Bodyanskiy Ye., Popov S., Titov M. // Innovations and Advances in Computer Sciences and Engineering / Ed. by T. Sobh. – Dordrecht : Springer, 2010. – P. 343–346.
  3. Bodyanskiy Ye. Hybrid evolving neural network using kernel activation functions / Bodyanskiy Ye., Teslenko N., Grimm P. // Proc. 17th Zittau East-West Fuzzy Colloquium. – Zittau/Goerlitz : HS, 2010. – P. 39–46.
  4. Bodyanskiy Ye. Hybrid wavelet-neuro-fuzzy system using adaptive W-neurons / Bodyanskiy Ye., Pliss I., Vynokurova O. // Proc. 17th Zittau East-West Fuzzy Colloquium. – Zittau/Goerlitz : HS, 2010. – P. 47–54.
  5. Evolving fuzzy classification of non-stationary time series / Bodyanskiy Ye., Gorshkov Ye., Kokshenev I., Kolodyazhniy V. // Evolving Intelligent Systems: Methodology and Application / Eds. by P. Angelov, D. Filev, N. Kasabov. – New York : John Willey & Sons, 2010. – P. 446–464. (Book chapter)
  6. Bodyanskiy Ye. Function Decomposition Network / Bodyanskiy Ye., Popov S., Titov M. // Proc. 19th Int. Conf. Artificial Neural Networks. ICANN 2009. – Limassol, Cyprus. – September 14–17, 2009. – Part I. – P. 718–727.
  7. Dolotov A. Analog-digital self-learning fuzzy spiking neural network in image processing problems / Dolotov A., Bodyanskiy Ye. // Image Processing / Ed. by Y.-Sh. Chen. – Vukovar : In-teh, 2009. – P. 357–380. (Book chapter)
  8. Neuro-Fuzzy Elman Network for Short-Term Electric Load Forecasting / Bodyanskiy Ye., Otto P., Popov S., Rybalchenko T. // Proc. 54th International Scientific Colloquium. – September 7–11, 2009. – Technical University of Ilmenau. – Flash Drive. – 6 p.
  9. Medical Image Analysis using Neuro-Fuzzy Network / Bodyanskiy Ye., Gorshkov Ye., Otto P., Pliss I. // Proc. 54th International Scientific Colloquium. – September 7–11, 2009. – Technical University of Ilmenau. – Flash Drive. – 7 p.
  10. Bodyanskiy Ye. The cascade growing neural network using quadratic neurons and its learning algorithms for on-line information processing / Bodyanskiy Ye., Viktorov Ye., Pliss I. // Int. Book Series “Information Science & Computing” / Eds. by G. Setlak, K. Markov. – Sofia : Institute of Information Theories and Applications FOI ITHEA, 2009. – 13. – P. 27–34.
  11. Bodyanskiy Ye. Self-learning fuzzy-spiking neural network as a nonlinear pulse-position threshold detection dynamic system based on second order critically damped response units / Bodyanskiy Ye., Dolotov A., Pliss I. // Int. Book Series “Information Science & Computing” / Eds. by K. Markov, P. Stanchev, K. Ivanova, I. Mitov. – Sofia : Institute of Information Theories and Applications FOI ITHEA, 2009. – 9. – P. 63–70.
  12. Bodyanskiy Ye. Feedforward neural network with a specialized architecture for estimation of the temperature influence on the electric load / Bodyanskiy Ye., Popov S., Rybalchenko T. // Proc. 4th International IEEE Conference «Intelligent Systems». – Varna, 2008. – Vol. I. – P. 7-14–7-18.
  13. Bodyanskiy Ye. Multilayer neuro-fuzzy network for short term electric load forecasting / Bodyanskiy Ye., Popov S., Rybalchenko T. // Computer Science – Theory and Applications: Third International Computer Science Symposium in Russia, CSR 2008, Proceedings. – Moscow, Russia. – June 7–12, 2008. – P. 339–348.
  14. Bodyanskiy Ye. Multilayer Network of Neuro-Fuzzy Units in Forecasting Applications / Bodyanskiy Ye., Popov S. // Research Papers of Wroclaw University of Economics. Knowledge Acquisition and Management. – 2008. – №25. – P. 9–14.
  15. Bodyanskiy Ye. Neural Network Approach to Forecasting of Quasiperiodic Financial Time Series / Bodyanskiy Ye., Popov S. // European Journal of Operational Research. – 2006. – Vol. 175. – N.3. – P. 1357–1366.
  16. Popov S. Large-scale data visualization with missing values / Popov S. // Technological and economic development of economy. – Vilnius : Technika, 2006. – XII. – N. 1. – P. 44–49.
  17. Outlier resistant recursive fuzzy clustering algorithm / Kokshenev I., Bodyanskiy Ye., Gorshkov Ye., Kolodyazhniy V. // Computational Intelligence: Theory and Applications / Ed. by B. Reusch. – Advances in Soft Computing. – 38. – Berlin-Heidelberg : Springer-Verlag, 2006. – P.647–652.
  18. Robust recursive fuzzy clustering-based segmentation of biomedical time series / Gorshkov Ye. et al. // Proc. 2006 Int. Symp. on Evolving Fuzzy Systems. – Lancaster, UK, 2006. – P.101–105.
  19. Recursive fuzzy clustering algorithm for segmentation of biomedical time series / Bodyanskiy Ye. et al. // Proc. East West Fuzzy Colloquium 2006, 13-th Zittau Fuzzy Colloquium. – Zittau-Goerlitz : HS, 2006. – P.130–139.
  20. Bodyanskiy Ye. Real-time identification and forecasting of chaotic time-series using hybrid systems of computational intelligence / Bodyanskiy Ye., Kolodyazhniy V. // Integration of Fuzzy Logic and Chaos Theory / Eds. by Zh. Li, W.A. Haland, C. Chen. – Studies in Fuzziness and Soft Computing. – Berlin-Heidelberg-New York : Springer-Verlag, 2006. – 187.–P.439–480. (Book chapter)
  21. Bodyanskiy Ye. Computational intelligence techniques for data analysis / Bodyanskiy Ye. // Lecture Notes in Informatics– P-72. – Bonn : GI, 2005. – P.15–36.
  22. Bodyanskiy Ye. Fuzzy Selection Mechanism for Multimodel Prediction / Bodyanskiy Ye., Popov S. // Proc. 8th Int. Conf. on Knowledge-based intelligent information and engineering systems (KES 2004). – September 20–25, 2004, Wellington, New Zealand. – Part II. – P. 772–778.
  23. An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems / Bodyanskiy Ye., Otto P., Pliss I., Popov S. // Proc. 7th Int. Conf. on Knowledge-based intelligent information and engineering systems (KES 2003). – September 3–5, 2003, Oxford, UK. – Part II. – P. 967–972.
  24. Bodyanskiy Ye. Adaptive Prediction of Quasiharmonic Sequences Using Feedforward Network / Bodyanskiy Ye., Chaplanov A., Popov S. // Proc. 13th Int. Conf. on Artificial Neural Networks / Eds. by O. Kaynak et. al. – June 26–29, 2003, Istanbul, Turkey. – P. 378–381.
  25. Bodyanskiy Ye. Quasiperiodic Approach to Forecasting of Chaotic Financial Time Series / Bodyanskiy Ye., Popov S. // Modelling and Simulation of Business Systems / Eds. by H. Pranevicius, E. Zavadskas, B. Rapp. – Kaunas : Technologija, 2003. – P. 227–231.
  26. Otto P. A new learning algorithm for a forecasting neuro-fuzzy network / Otto P., Bodyanskiy Ye., Kolodyazhniy V. // Integrated Computer-Aided Engineering. – 10. – №4. – Amsterdam : IOS Press, 2003. – P. 399–409.
  27. Bodyanskiy Ye. Adaptive Prediction of Stochastic Polyharmonic Processes Using Neural Network Technologies / Bodyanskiy Ye., Popov S., Stephan A. // 45th International Scientific Colloquium. Technical University of Ilmenau. October 4–6. – 2000. – Tagungsband. – P. 123–128.
  28. Bodyanskiy Ye.V. Recurrent neural network detecting changes in the properties of nonlinear stochastic sequences / Bodyanskiy Ye.V., Vorobyov S.A. // Automation and Remote Control. – 2000. – P. 1. – №7. – P. 1113–1124.
  29. Bodyanskiy Ye. Harmonic Components Detection in Stochastic Sequences Using Artificial Neural Networks / Bodyanskiy Ye., Popov S., Stephan A. // Computational Intelligence and Applications / Ed. by N.E. Mastorakis. – Athens : WSES Press, 1999. – P. 162–166.
  30. Bodyanskiy Ye. Fault Diagnosis of Machines Based on Use of Artificial Neural Networks / Bodyanskiy Ye., Popov S., Stephan A. // Proc. 44th International Scientific Colloquium. Technical University of Ilmenau. September 20–23. – 1999. – Band 1. – P. 495–500.
  31. Bodyanskiy Ye. Detection of NARMA sequence order using recurrent artificial neural networks / Bodyanskiy Ye., Vorobyov S., Stephan A. // Proc. of European Control Conference ECC’99. – Karlsruhe, Germany, 1999. – CD-ROM.

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