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Jiri Pospichal: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vladimir Kvasnicka, Jiri Pospichal
    A Multi-agent Study of Interethnic Cooperation. [Citation Graph (0, 0)][DBLP]
    EASSS, 2001, pp:415-436 [Conf]
  2. Vladimir Kvasnicka, Jiri Pospichal, T. Kaláb
    A Study of Replicators and Hypercycles by Typogenetics. [Citation Graph (0, 0)][DBLP]
    ECAL, 2001, pp:37-54 [Conf]
  3. Stefan Babinec, Jiri Pospichal
    Merging Echo State and Feedforward Neural Networks for Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:367-375 [Conf]
  4. Vladimir Kvasnicka, Jiri Pospichal
    Emergence of Modularity in Genotype-Phenotype Mappings. [Citation Graph (0, 0)][DBLP]
    Artificial Life, 2002, v:8, n:4, pp:295-310 [Journal]
  5. Vladimir Kvasnicka, Jiri Pospichal
    An Emergence of Coordinated Communication in Populations of Agents. [Citation Graph (0, 0)][DBLP]
    Artificial Life, 1999, v:5, n:4, pp:319-342 [Journal]
  6. Jiri Pospichal, Vladimir Kvasnicka
    Multistage decision-making using simulated annealing applied to a fuzzy automaton. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2002, v:2, n:2, pp:140-151 [Journal]
  7. Jiri Pospichal, Vladimir Kvasnicka
    Pruning the Search Tree in the Constructive Enumeration of Molecular Graphs. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 1996, v:67, n:1-3, pp:189-207 [Journal]
  8. Peter Lacko, Vladimir Kvasnicka, Jiri Pospichal
    An Emergence Of Game Strategy In Multiagent Systems. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2004, v:4, n:3, pp:283-298 [Journal]
  9. Vladimir Kvasnicka, Jiri Pospichal
    Deductive rules in holographic reduced representation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:16-18, pp:2127-2139 [Journal]
  10. Vladimir Kvasnicka, Jiri Pospichal
    Canonical indexing and constructive enumeration of molecular graphs. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1990, v:30, n:2, pp:99-105 [Journal]
  11. Vladimir Kvasnicka, Jiri Pospichal
    Fast Evaluation of Chemical Distance by Tabu Search Algorithm. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1994, v:34, n:5, pp:1109-1112 [Journal]
  12. Vladimir Kvasnicka, Jiri Pospichal
    Simple Construction of Embedding Frequencies of Trees and Rooted Trees. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1995, v:35, n:1, pp:121-128 [Journal]
  13. Vladimir Kvasnicka, Jiri Pospichal
    Simulated Annealing Construction of Molecular Graphs with Required Properties. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1996, v:36, n:3, pp:516-526 [Journal]
  14. Vladimir Kvasnicka, Stepan Sklenak, Jiri Pospichal
    Application of recurrent neural networks in chemistry. Prediction and classification of carbon-13 NMR chemical shifts in a series of monosubstituted benzenes. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1992, v:32, n:6, pp:742-747 [Journal]
  15. Jiri Pospichal
    Fuzzy Sets and Fuzzy Logic: Theory and Applications. By George J. Klir and Bo Yuan. Prentice Hall: Upper Saddle River, NJ, 1995, 574 pp, ISBN 0-13-101171-5. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1996, v:36, n:3, pp:619- [Journal]
  16. Jiri Pospichal, Vladimir Kvasnicka
    Fast evaluation of chemical distance by a simulated-annealing algorithm. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1993, v:33, n:6, pp:879-885 [Journal]
  17. Daniel Svozil, Jiri Pospichal, Vladimir Kvasnicka
    Neural Network Prediction of Carbon-13 NMR Chemical Shifts of Alkanes. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1995, v:35, n:5, pp:924-928 [Journal]
  18. Stefan Babinec, Jiri Pospichal
    Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja's Learning. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:19-28 [Conf]

  19. Neural Network Training with Extended Kalman Filter Using Graphics Processing Unit. [Citation Graph (, )][DBLP]


  20. Gating Echo State Neural Networks for Time Series Forecasting. [Citation Graph (, )][DBLP]


  21. Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting. [Citation Graph (, )][DBLP]


  22. Two metrics in a graph theory modeling of organic chemistry. [Citation Graph (, )][DBLP]


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