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Brian Carse: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Brian Carse
    Learning Anticipatory Behaviour Using a Delayed Action Classifier System. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1994, pp:210-223 [Conf]
  2. Brian Carse, Terence C. Fogarty
    Fast Evolutionary Learning of Minimal Radial Basis Function Neural Networks Using a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1996, pp:1-22 [Conf]
  3. Brian Carse, Terence C. Fogarty, Alistair Munro
    Evolutionary Learning in Computational Ecologies: An Application to Adaptive, Distributed Routing in Communication Networks. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1995, pp:103-116 [Conf]
  4. Anthony G. Pipe, Brian Carse
    A Comparison Between Two Architectures for Searching and Learning in Maze Problems. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computing, AISB Workshop, 1994, pp:238-249 [Conf]
  5. Anthony G. Pipe, Brian Carse, Terence C. Fogarty, A. Winfield
    Learning Subjective "Cognitive Maps" in the Presence of Sensory-Motor Errors. [Citation Graph (0, 0)][DBLP]
    ECAL, 1995, pp:463-476 [Conf]
  6. Brian Carse, Anthony G. Pipe
    A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:465-469 [Conf]
  7. Paul Cullen, Brian Carse
    Connection Admission Control in ATM Networks Using Neural Networks: Research Directions and Issues in Commercial Exploitation. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1999, pp:325-331 [Conf]
  8. S. A. Dolenko, I. V. Boychuk, I. V. Churina, Tatiana A. Dolenko, Victor V. Fadeev, I. G. Persiantsev, Brian Carse
    Solution of Inverse Problems in Laser Spectroscopy of Water Media with the Help of Neural Networks. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:470-474 [Conf]
  9. Anthony G. Pipe, Brian Carse
    "Michigan" and "Pittsburgh" Fuzzy Classifier Systems for Learning Mobile Robot Control Rules: An Experimental Comparison. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2001, pp:493-497 [Conf]
  10. Brian Carse, Johan Oreland
    A Note on Learning and Evolution in Neural Networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:66-73 [Conf]
  11. Anthony G. Pipe, Brian Carse
    Autonomous Acquisition of Fuzzy Rules for Mobile Robot Control: First Results from two Evolutionary Computation Approaches. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:849-856 [Conf]
  12. Brian Carse, Terence C. Fogarty
    A Delayed-Action Classifier System for Learning in Temporal Environments. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:670-673 [Conf]
  13. Brian Carse, Terence C. Fogarty, Alistair Munro
    Adaptive Distributed Routing Using Evolutionary Fuzzy Control. [Citation Graph (0, 0)][DBLP]
    ICGA, 1995, pp:389-396 [Conf]
  14. Brian Carse, Terence C. Fogarty
    A Fuzzy Classifier System Using the Pittsburgh Approach. [Citation Graph (0, 0)][DBLP]
    PPSN, 1994, pp:260-269 [Conf]
  15. Brian Carse, Terence C. Fogarty
    Tackling the "Curse of Dimensionality" of Radial Basis Functional Neural Networks Using a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:710-719 [Conf]
  16. Julian C. Holley, Anthony G. Pipe, Brian Carse
    Oneiric Processing Utilising the Anticipatory Classifier System. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:1103-1112 [Conf]
  17. Anthony G. Pipe, Brian Carse
    First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:578-587 [Conf]
  18. Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse
    Current And Future Trends In Feature Selection And Extraction For Classification Problems. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:2, pp:133-142 [Journal]
  19. Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder
    Editorial. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:2, pp:129-132 [Journal]
  20. Antony Waldock, Brian Carse, Chris Melhuish
    Hierarchical fuzzy rule based systems using an information theoretic approach. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:10, pp:867-879 [Journal]

  21. First Results from Further Experimental Comparisons between Pittsburgh and Michigan Fuzzy Classifier Systems for Mobile Robotics. [Citation Graph (, )][DBLP]


  22. Current issues and future directions in evolutionary fuzzy systems research. [Citation Graph (, )][DBLP]


  23. A hierarchical fuzzy rule-based learning system based on an information theoretic. [Citation Graph (, )][DBLP]


  24. Fuzzy logic and the Pittsburgh classifier system for mobile robot control. [Citation Graph (, )][DBLP]


  25. X-FCS: a fuzzy classifier system using accuracy based fitness - first results. [Citation Graph (, )][DBLP]


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