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Brian Carse
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2010 – 2019
- 2016
- [j12]Antony Waldock, Brian Carse:
Learning a robot controller using an adaptive hierarchical fuzzy rule-based system. Soft Comput. 20(7): 2855-2881 (2016) - 2013
- [c31]Hamzah Z. Hossen Mamode, Paul Bremner, Anthony G. Pipe, Brian Carse:
Cooperative tabletop working for humans and humanoid robots: Group interaction with an avatar. ICRA 2013: 184-190 - 2012
- [c30]Hamzah Z. Hossen Mamode, Paul Bremner, Tony Pipe, Brian Carse:
Cooperative tabletop working for humans and humanoid robots: Early investigations into artifact indication. CogInfoCom 2012: 231-236
2000 – 2009
- 2009
- [j11]Jorge Casillas
, Brian Carse:
Special issue on "Genetic Fuzzy Systems: Recent Developments and Future Directions". Soft Comput. 13(5): 417-418 (2009) - 2008
- [c29]Antony Waldock, Brian Carse:
Fuzzy Q-Learning with an adaptive representation. FUZZ-IEEE 2008: 720-725 - 2007
- [j10]Brian Carse, Anthony G. Pipe:
Introduction: Genetic fuzzy systems. Int. J. Intell. Syst. 22(9): 905-907 (2007) - [j9]Anthony G. Pipe, Brian Carse:
Fuzzy classifier system architectures for mobile robotics: An experimental comparison. Int. J. Intell. Syst. 22(9): 993-1019 (2007) - [j8]Jorge Casillas
Fuzzy-XCS: A Michigan Genetic Fuzzy System. IEEE Trans. Fuzzy Syst. 15(4): 536-550 (2007) - 2006
- [j7]Antony Waldock, Brian Carse, Chris Melhuish:
Hierarchical fuzzy rule based systems using an information theoretic approach. Soft Comput. 10(10): 867-879 (2006) - [c28]Shima Shirazi Kia, Siamak Noroozi, Brian Carse, John Vinney, Masoud Rabbani:
Prediction of Failure in Pin-joints Using Hybrid Adaptive Neuro-Fuzzy Approach. FUZZ-IEEE 2006: 671-677 - 2005
- [j6]Jusong Yang, Mohammad Montakhab, Anthony G. Pipe, Brian Carse, Terence S. Davies:
Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems. Int. J. Intell. Inf. Technol. 1(2): 1-16 (2005) - [j5]Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 19(2): 129-132 (2005) - [j4]Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse:
Current And Future Trends In Feature Selection And Extraction For Classification Problems. Int. J. Pattern Recognit. Artif. Intell. 19(2): 133-142 (2005) - [c27]Anthony G. Pipe, Brian Carse:
First Results from Further Experimental Comparisons between Pittsburgh and Michigan Fuzzy Classifier Systems for Mobile Robotics. EUSFLAT Conf. 2005: 1015-1020 - 2004
- [c26]Julian C. Holley, Anthony G. Pipe, Brian Carse:
Oneiric Processing Utilising the Anticipatory Classifier System. PPSN 2004: 1103-1112 - 2003
- [c25]Brian Carse, Anthony G. Pipe:
Learning to predict with the Delayed Action Classifier System. ISIC 2003: 93-98 - [c24]Anthony G. Pipe, Brian Carse:
Further experiments in Fuzzy Classifier Systems for mobile robot control. ISIC 2003: 805-810 - [c23]Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio Fernandez Gómez-Skarmeta, Fernando Jiménez, Gracia Sánchez, Oscar Cordón, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio González Muñoz, Raúl Pérez:
Current issues and future directions in evolutionary fuzzy systems research. EUSFLAT Conf. 2003: 81-87 - [c22]Anthony G. Pipe, Brian Carse:
Fuzzy logic and the Pittsburgh classifier system for mobile robot control. EUSFLAT Conf. 2003: 120-125 - [c21]Antony Waldock, Brian Carse, Chris Melhuish:
A hierarchical fuzzy rule-based learning system based on an information theoretic. EUSFLAT Conf. 2003: 534-538 - 2002
- [c20]Anthony G. Pipe, Brian Carse, E. Malliris:
Experiments on a Pittsburgh-style fuzzy classifier system for mobile robotics. ISIC 2002: 61-66 - [c19]Anthony G. Pipe, Brian Carse:
First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics. PPSN 2002: 578-587 - 2001
- [c18]Brian Carse, Anthony G. Pipe:
X-FCS: a fuzzy classifier system using accuracy based fitness - first results. EUSFLAT Conf. 2001: 195-198 - [c17]Brian Carse, Anthony G. Pipe:
A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming. FLAIRS 2001: 465-469 - [c16]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. FLAIRS 2001: 470-474 - [c15]Anthony G. Pipe, Brian Carse:
"Michigan" and "Pittsburgh" Fuzzy Classifier Systems for Learning Mobile Robot Control Rules: An Experimental Comparison. FLAIRS 2001: 493-497 - 2000
- [j3]Brian Carse, Johan Oreland:
Evolution and Learning in Neural Networks: Dynamic Correlation, Relearning and Thresholding. Adapt. Behav. 8(3-4): 297-311 (2000) - [c14]Brian Carse, Johan Oreland:
A Note on Learning and Evolution in Neural Networks. GECCO 2000: 66-73 - [c13]Anthony G. Pipe, Brian Carse:
Autonomous Acquisition of Fuzzy Rules for Mobile Robot Control: First Results from two Evolutionary Computation Approaches. GECCO 2000: 849-856
1990 – 1999
- 1999
- [c12]Paul Cullen, Brian Carse:
Connection Admission Control in ATM Networks Using Neural Networks: Research Directions and Issues in Commercial Exploitation. FLAIRS 1999: 325-331 - 1998
- [j2]Brian Carse, Terence C. Fogarty, Alistair Munro:
Artificial evolution of fuzzy rule bases which represent time: A temporal fuzzy classifier system. Int. J. Intell. Syst. 13(10-11): 905-927 (1998) - [c11]Brian Carse:
Evolution and learning in neural networks. An experimental study. SMC 1998: 2407-2412 - 1997
- [b1]Brian Carse:
Artificial evolution of fuzzy and temporal rule based systems. University of the West of England, Bristol, UK, 1997 - 1996
- [j1]Brian Carse, Terence C. Fogarty, Alistair Munro:
Evolving fuzzy rule based controllers using genetic algorithms. Fuzzy Sets Syst. 80(3): 273-293 (1996) - [c10]Brian Carse, Terence C. Fogarty:
Fast Evolutionary Learning of Minimal Radial Basis Function Neural Networks Using a Genetic Algorithm. Evolutionary Computing, AISB Workshop 1996: 1-22 - [c9]Brian Carse, Terence C. Fogarty:
Tackling the "Curse of Dimensionality" of Radial Basis Functional Neural Networks Using a Genetic Algorithm. PPSN 1996: 710-719 - 1995
- [c8]Brian Carse, Terence C. Fogarty, Alistair Munro:
Evolutionary Learning in Computational Ecologies: An Application to Adaptive, Distributed Routing in Communication Networks. Evolutionary Computing, AISB Workshop 1995: 103-116 - [c7]Terence C. Fogarty, Brian Carse, Larry Bull:
Classifier Systems: Selectionist Reinforcement Learning, Fuzzy Rules and Communication. BIES 1995: 69-75 - [c6]Anthony G. Pipe, Brian Carse, Terence C. Fogarty, Alan F. T. Winfield
Learning Subjective "Cognitive Maps" in the Presence of Sensory-Motor Errors. ECAL 1995: 463-476 - [c5]Brian Carse, Terence C. Fogarty, Alistair Munro:
Adaptive Distributed Routing Using Evolutionary Fuzzy Control. ICGA 1995: 389-396 - 1994
- [c4]Brian Carse:
Learning Anticipatory Behaviour Using a Delayed Action Classifier System. Evolutionary Computing, AISB Workshop 1994: 210-223 - [c3]Anthony G. Pipe, Brian Carse:
A Comparison Between Two Architectures for Searching and Learning in Maze Problems. Evolutionary Computing, AISB Workshop 1994: 238-249 - [c2]Brian Carse, Terence C. Fogarty:
A Delayed-Action Classifier System for Learning in Temporal Environments. International Conference on Evolutionary Computation 1994: 670-673 - [c1]Brian Carse, Terence C. Fogarty:
A Fuzzy Classifier System Using the Pittsburgh Approach. PPSN 1994: 260-269
Coauthor Index
aka: Tony Pipe
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