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Roman Neruda: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Petra Kudová, Roman Neruda
    Kernel Based Learning Methods: Regularization Networks and RBF Networks. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:124-136 [Conf]
  2. Roman Neruda, Pavel Krusina
    Estimating and Measuring Performance of Computational Agents. [Citation Graph (0, 0)][DBLP]
    IAT, 2005, pp:615-618 [Conf]
  3. Roman Neruda, Pavel Krusina, Petra Kudová, Pavel Rydvan, Gerd Beuster
    Bang 3: A Computational Multi-Agent System. [Citation Graph (0, 0)][DBLP]
    IAT, 2004, pp:563-564 [Conf]
  4. Andrei Kursin, Dusan Húsek, Roman Neruda
    Faster Learning with Overlapping Neural Assemblies. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:226-233 [Conf]
  5. Roman Neruda, Petra Kudová
    Hybrid Learning of RBF Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2002, pp:594-603 [Conf]
  6. Roman Neruda, Pavel Krusina, Zuzana Petrová
    More Autonomous Hybrid Models in Bang. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2001, pp:935-942 [Conf]
  7. Roman Neruda, Arnost Stedrý, Jitka Drkosová
    Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2001, pp:986-995 [Conf]
  8. Roman Neruda, Arnost Stedrý, Jitka Drkosová
    Variants of Learning Algorithm Based on Kolmogorov Theorem. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2002, pp:536-543 [Conf]
  9. Roman Neruda
    Emerging Hybrid Computational Models. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2006, pp:379-389 [Conf]
  10. Roman Neruda
    Yet Another Genetic Algorithm for Feed-Forward Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1997, pp:375-0 [Conf]
  11. Roman Neruda
    Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:293-298 [Conf]
  12. Roman Neruda
    Agents that Make Hybrid AI Models. [Citation Graph (0, 0)][DBLP]
    ISAS-SCI (1), 2001, pp:24-29 [Conf]
  13. Roman Neruda, Gerd Beuster
    Description and Generation of Computational Agents. [Citation Graph (0, 0)][DBLP]
    KSEM, 2006, pp:318-329 [Conf]
  14. Roman Neruda
    Building Hybrid Soft Computing Agents. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2003, pp:7-12 [Conf]
  15. David Strupl, Roman Neruda
    Parallelizing Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    SOFSEM, 1997, pp:563-570 [Conf]
  16. Roman Neruda, Petra Kudová
    Learning methods for radial basis function networks. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2005, v:21, n:7, pp:1131-1142 [Journal]
  17. Roman Neruda, Stanislav Slusny
    Variants of Memetic And Hybrid Learning of Perceptron Networks. [Citation Graph (0, 0)][DBLP]
    DEXA Workshops, 2007, pp:158-162 [Conf]

  18. Towards Extending Service Discovery with Automated Composition Capabilities. [Citation Graph (, )][DBLP]


  19. Hybrid Search Methods for Automatic Discovery of Computational Agent Schemes. [Citation Graph (, )][DBLP]


  20. Hybrid Learning of Regularization Neural Networks. [Citation Graph (, )][DBLP]


  21. Implementing Boolean Matrix Factorization. [Citation Graph (, )][DBLP]


  22. Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem. [Citation Graph (, )][DBLP]


  23. Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms. [Citation Graph (, )][DBLP]


  24. Real Time Robot Path Planning and Cleaning. [Citation Graph (, )][DBLP]


  25. Description, Composition, and Decision Support for Multiagent Computational Systems. [Citation Graph (, )][DBLP]


  26. Modeling and Discovery of Data Providing Services. [Citation Graph (, )][DBLP]


  27. Testing Error Estimates for Regularization and Radial Function Networks. [Citation Graph (, )][DBLP]


  28. Memetic Evolutionary Learning for Local Unit Networks. [Citation Graph (, )][DBLP]


  29. Ontology-based and Evolutionary Search for Computational Agents Schemes. [Citation Graph (, )][DBLP]


  30. An Agent for Asymmetric Process Mediation in Open Environments. [Citation Graph (, )][DBLP]


  31. Evolving neural network which control a robotic agent. [Citation Graph (, )][DBLP]


  32. Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance. [Citation Graph (, )][DBLP]


  33. Evolutionary Learning and Behavior Analysis of the Autonomous Robot Neuro-Controller. [Citation Graph (, )][DBLP]


  34. Evolutionary trained radial basis function networks for robot control. [Citation Graph (, )][DBLP]


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