2008 | ||
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40 | Elhadj Benkhelifa, Anthony G. Pipe, Gabriel Dragffy, Mokhtar Nibouche: Evolutionary Electronics: A Novel Approach and the Effects of Geometry-related Parameters on Performance. GEM 2008: 35-41 | |
2007 | ||
39 | Elhadj Benkhelifa, Anthony G. Pipe, Mokhtar Nibouche, Gabriel Dragffy: Evolvable Embryonics: Promising Early Results to An Automatic Design of Self-Repair Hardware System. GEM 2007: 137-143 | |
38 | EE | Elhadj Benkhelifa, Anthony G. Pipe, Mokhtar Nibouche, Gabriel Dragffy: Steps Forward to Evolve Bio-inspired Embryonic Cell-Based Electronic Systems. ICES 2007: 174-185 |
37 | EE | Elhadj Benkhelifa, Anthony G. Pipe, Gabriel Dragffy, Mokhtar Nibouche: Towards evolving fault tolerant biologically inspired hardware using evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 1548-1554 |
36 | EE | Elhadj Benkhelifa, Anthony G. Pipe, Mokhtar Nibouche, Gabriel Dragffy: Evolvable Hardware: A Problem of Generalization Which Works Best: Large Population Size and Small Number of Generations or visa versa?. NICSO 2007: 475-485 |
35 | EE | Martin J. Pearson, Anthony G. Pipe, Benjamin Mitchinson, Kevin N. Gurney, Chris Melhuish, Ian Gilhespy, Mokhtar Nibouche: Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach. IEEE Transactions on Neural Networks 18(5): 1472-1487 (2007) |
34 | EE | Brian Carse, Anthony G. Pipe: Introduction: Genetic fuzzy systems. Int. J. Intell. Syst. 22(9): 905-907 (2007) |
33 | EE | Anthony G. Pipe, Brian Carse: Fuzzy classifier system architectures for mobile robotics: An experimental comparison. Int. J. Intell. Syst. 22(9): 993-1019 (2007) |
2006 | ||
32 | EE | Martin J. Pearson, Mokhtar Nibouche, Anthony G. Pipe, Chris Melhuish, Ian Gilhespy, Benjamin Mitchinson, Kevin N. Gurney, Tony J. Prescott, Peter Redgrave: A Biologically Inspired FPGA Based Implementation of a Tactile Sensory System for Object Recognition and Texture Discrimination. FPL 2006: 1-4 |
31 | EE | Xuegong Zhang, Gabriel Dragffy, Anthony G. Pipe: Embryonics: A Path to Artificial Life? Artificial Life 12(3): 313-332 (2006) |
2005 | ||
30 | EE | 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 |
29 | EE | Thomas J. Mitchell, Anthony G. Pipe: Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy. EvoWorkshops 2005: 533-538 |
28 | Martin J. Pearson, Chris Melhuish, Anthony G. Pipe, Mokhtar Nibouche, Ian Gilhespy, Kevin N. Gurney, Benjamin Mitchinson: Design and FPGA Implementation of an Embedded Real-Time Biologically Plausible Spiking Neural Network Processor. FPL 2005: 582-585 | |
27 | EE | Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, Chris Melhuish, Benjamin Mitchinson, Mokhtar Nibouche, Anthony G. Pipe: A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor. ICANN (2) 2005: 1021-1026 |
26 | EE | Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder: Editorial. IJPRAI 19(2): 129-132 (2005) |
25 | EE | Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse: Current And Future Trends In Feature Selection And Extraction For Classification Problems. IJPRAI 19(2): 133-142 (2005) |
2004 | ||
24 | X. Zhang, Gabriel Dragffy, Anthony G. Pipe, Quan M. Zhu: Partial-DNA Supported Artificial-Life in an Embryonic Array. ERSA 2004: 203-208 | |
23 | X. Zhang, Gabriel Dragffy, Anthony G. Pipe: Repair of the Genetic Material in Biologically Inspired Embryonic-Cell-Based Systems. ESA/VLSI 2004: 316-324 | |
22 | EE | X. Zhang, Gabriel Dragffy, Anthony G. Pipe, Quan M. Zhu: Artificial Innate Immune System: An Instant Defence Layer of Embryonics. ICARIS 2004: 302-315 |
21 | EE | Julian C. Holley, Anthony G. Pipe, Brian Carse: Oneiric Processing Utilising the Anticipatory Classifier System. PPSN 2004: 1103-1112 |
2003 | ||
20 | EE | Anthony G. Pipe, Brian Carse: Fuzzy logic and the Pittsburgh classifier system for mobile robot control. EUSFLAT Conf. 2003: 120-125 |
19 | EE | Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio F. Gómez-Skarmeta, Fernando Jiménez, Gracia Sánchez, Oscar Cordón, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio González, Raúl Pérez: Current issues and future directions in evolutionary fuzzy systems research. EUSFLAT Conf. 2003: 81-87 |
18 | X. Zhang, Gabriel Dragffy, Anthony G. Pipe, Quan M. Zhu: Ontogenetic Cellular Hardware for Fault Tolerant Systems. Embedded Systems and Applications 2003: 144-150 | |
17 | X. Zhang, Gabriel Dragffy, Anthony G. Pipe, Nigel Gunton, Quan M. Zhu: A Reconfigurable Self-Healing Embryonic Cell Architecture. Engineering of Reconfigurable Systems and Algorithms 2003: 134-140 | |
16 | X. Zhang, Gabriel Dragffy, Anthony G. Pipe: Bio-Inspired Reconfigurable Architecture for Reliable Systems. VLSI 2003: 34-40 | |
2002 | ||
15 | EE | Anthony G. Pipe, Brian Carse: First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics. PPSN 2002: 578-587 |
2001 | ||
14 | EE | Brian Carse, Anthony G. Pipe: X-FCS: a fuzzy classifier system using accuracy based fitness - first results. EUSFLAT Conf. 2001: 195-198 |
13 | Brian Carse, Anthony G. Pipe: A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming. FLAIRS Conference 2001: 465-469 | |
12 | S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai, Anthony G. Pipe: Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers. FLAIRS Conference 2001: 475-479 | |
11 | Anthony G. Pipe, Brian Carse: "Michigan" and "Pittsburgh" Fuzzy Classifier Systems for Learning Mobile Robot Control Rules: An Experimental Comparison. FLAIRS Conference 2001: 493-497 | |
2000 | ||
10 | 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 | |
9 | EE | Mark Randall, Anthony G. Pipe: A novel soft computing architecture for the control of autonomous walking robots. Soft Comput. 4(3): 165-185 (2000) |
1999 | ||
8 | Anthony G. Pipe, Mark Randall, Y. Jin: Experiments in On-Line Learning Neuro-Control. FLAIRS Conference 1999: 309-314 | |
1996 | ||
7 | J. C. W. Sullivan, Anthony G. Pipe: Efficient Evolution Strategies for Exploration in Mobile Robotics. Evolutionary Computing, AISB Workshop 1996: 147-161 | |
6 | J. C. W. Sullivan, Anthony G. Pipe: An Evolution Strategy for On-line Optimisation of Dynamic Objective Functions. PPSN 1996: 781-790 | |
1995 | ||
5 | Larry Bull, Terence C. Fogarty, Anthony G. Pipe: Artificial Endosymbiosis. ECAL 1995: 273-289 | |
4 | 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 | |
1994 | ||
3 | Anthony G. Pipe, Brian Carse: A Comparison Between Two Architectures for Searching and Learning in Maze Problems. Evolutionary Computing, AISB Workshop 1994: 238-249 | |
2 | Anthony G. Pipe, Terence C. Fogarty, Alan F. T. Winfield: Balancing Exploration with Exploitation - Solving Mazes With Real Numbered Search Spaces. International Conference on Evolutionary Computation 1994: 485-489 | |
1 | Anthony G. Pipe, Terence C. Fogarty, Alan F. T. Winfield: Hybrid Adaptive Heuristic Critic Architectures for Learning in Mazes with Continuous Search Spaces. PPSN 1994: 482-491 |