Institute of Information Engineering, Automation, and Mathematics

Prof. RNDr. Jiří Pospíchal, CSc.

Position:
Department:
Department of Mathematics (DM)
Room:
NB 628
eMail:
Home page:
http://math.chtf.stuba.sk/staff/pospichal/pospich.htm
Phone:
+421 259 325 342
Availability:

Publications

Article in journal

  1. Š. Babinec – J. Pospíchal: Modular Echo State Neural Networks in Time Series Prediction. Computing and Informatics, no. 2, vol. 30, pp. 321–334, 2011.
  2. Š. Babinec – J. Pospíchal: Gating Echo State Neural Networks for Time Series Forecasting. Lectue Notes in Computer Science, no. 5506, pp. 200–207, 2009.
  3. Š. Babinec – J. Pospíchal: Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting. Lecture Notes in Computer Science, no. 5507, pp. 284–291, 2009.
  4. Š. Babinec – J. Pospíchal: Optimization of Echo State Neural Networks for Electrical Load Forecasting. Neural Network World, no. 7, vol. 2, pp. 133–152, 2007.
  5. Š. Babinec – J. Pospíchal: Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja's Learning. Lecture Notes in Computer Science, no. 4668, pp. 19–28, 2007.
  6. Š. Babinec – J. Pospíchal: Merging Echo State and Feedforward Neural Networks for Time Series Forecasting. Lecture Notes in Computer Science, no. 4131, pp. 367–375, 2006.
  7. V. Baláž – V. Kvasnička – J. Pospíchal – M. Šabo: Grafy, počítače, chémia IV. Matematické obzory, vol. 42, pp. 31–43, 1995.
  8. V. Baláž – V. Kvasnička – J. Pospíchal – M. Šabo: Grafy, počítače, chémia III (in Slovak). Matematické obzory, vol. 42, pp. 35–45, 1994.
  9. V. Baláž – V. Kvasnička – J. Pospíchal – M. Šabo: Grafy, počítače, chémia II (in Slovak). Matematické obzory, vol. 42, pp. 31–41, 1993.
  10. V. Baláž – V. Kvasnička – J. Pospíchal: Two metrics in a Graph Theory Modeling of Organic Chemistry. Discrete Applied Mathematics, vol. 35, pp. 1–19, 1992.
  11. V. Baláž – V. Kvasnička – J. Pospíchal – M. Šabo: Grafy, počítače, chémia I (in Slovak). Matematické obzory, vol. 39, pp. 9–18, 1992.
  12. V. Baláž – V. Kvasnička – J. Pospíchal: Grafy v chémii (in Swedish). Acta Math. Univ. Comenian, vol. 44/45, pp. 14–20, 1991.
  13. V. Kvasnička – J. Pospíchal – V. Baláž: Reaction and chemical distances and reaction graphs. Theor. Chim. Acta, vol. 79, pp. 65–79, 1991.
  14. V. Baláž – V. Kvasnička – J. Pospíchal: Dual approach to edge distance between graphs. Časopis pro pěstování matematiky, no. 2, vol. 114, pp. 155–159, 1989.

Article in conference proceedings

  1. Š. Babinec – J. Pospíchal: Using Combination of FIR Neural Networks in Time Series Prediction. In Proceedings of Mendel 2010, 16th International Conference on Soft Computing, pp. 286–292, 2010.
  2. Š. Babinec – J. Pospíchal: Echo State and FIR neural networks: Comparison of predictive abilities. In Proceedings of Mendel 2009, 15th International Conference on Soft Computing, pp. 160–165, 2009.
  3. Š. Babinec – J. Pospíchal: Alternative approaches in Echo State neural networks training. In Proceedings of Mendel 2008, 14th International Conference on Soft Computing, Brno, Czech Republic, pp. 137–142, 2008.
  4. Š. Babinec – J. Pospíchal: Gating Echo State Neural Networks for Time Series Forecasting. In Proceedings of the 15th International Conference, ICONIP 2008, pp. 347–348, 2008.
  5. Š. Babinec – J. Pospíchal: Optimization Echo State neural networks with Hebbian learning and Genetic algorithm (in Slovak). In Kognice a umělý život V, Slezská Univerzita, Opava, pp. 47–62, 2005.
  6. Š. Babinec – J. Pospíchal: Two approaches to optimize echo state. In Proceedings of Mendel 2005, 11th International Conference on Soft Computing, pp. 39–44, 2005.
  7. Š. Babinec – J. Pospíchal: Time Series Prediction by Echo State Neural Networks with Combined Evolutionary Optimisation. In Proceedings of 1.st Slovak-Japanese Seminar on Intelligent Systems, Herlany, Slovak Republic, 2005.
  8. Š. Babinec – J. Pospíchal: . (in Slovak). In Kognice a umělý život IV, Slezská Univerzita, Opava, pp. 35–44, 2004.
  9. Š. Babinec – J. Pospíchal: Optimization in Echo state neural networks by Metropolis algorithm. In Proceedings of Mendel 2004, 10th International Conference on Soft Computing, pp. 155–160, 2004.

Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.

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