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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]