GAP: Constructing and selecting features with evolutionary computing
(2004)
Book Chapter
Smith, M., & Bull, L. (2004). GAP: Constructing and selecting features with evolutionary computing. In A. Ghosh (Ed.), Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing) (41-56). Springer
Using genetic programming for feature creation with a genetic algorithm feature selector (2004)
Presentation / Conference
Smith, M., & Bull, L. (2004, September). Using genetic programming for feature creation with a genetic algorithm feature selector. Paper presented at The 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), Birmingham, UK
A self-adaptive neural learning classifier system with constructivism for mobile robot control (2004)
Presentation / Conference
Hurst, J., & Bull, L. (2004, September). A self-adaptive neural learning classifier system with constructivism for mobile robot control. Paper presented at 8th International Conference on Parallel problem solving from nature, Birmingham, UK
Lookahead and latent learning in a simple accuracy-based classifier system (2004)
Presentation / Conference
Bull, L. (2004, September). Lookahead and latent learning in a simple accuracy-based classifier system. Paper presented at The 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), Birmingham, UK
Correspondence between the temporal and spacial behavior in reversible one-dimensional cellular automata equivalent with the full shift (2004)
Presentation / Conference
Mora, J. C., Martinez, G. J., & McIntosh, H. V. (2004, June). Correspondence between the temporal and spacial behavior in reversible one-dimensional cellular automata equivalent with the full shift. Paper presented at DMCS Workshop, University of Turku, FinlandWe present the basic properties of reversible one-dimensional cellular automata equivalent by permutations with the full shift, this work only takes reversible automata of neighborhood size 2. In these cases, we prove that the evolution rule defining... Read More about Correspondence between the temporal and spacial behavior in reversible one-dimensional cellular automata equivalent with the full shift.
An accuracy-based fuzzy classifier system (2004)
Presentation / Conference
Casillias, J., Carse, B., & Bull, L. (2004, June). An accuracy-based fuzzy classifier system. Paper presented at 12th Spanish Conference on Fuzzy Logic and Technologies
Experimental implementation of mobile robot taxis with onboard Belousov-Zhabotinsky chemical medium (2004)
Journal Article
Ratcliffe, N., Adamatzky, A., Costello, B. D. L., & Melhuish, C. (2004). Experimental implementation of mobile robot taxis with onboard Belousov-Zhabotinsky chemical medium. Materials Science and Engineering: C, 24(4), 541-548. https://doi.org/10.1016/j.msec.2004.02.002We discuss the first-ever experimental realization of the onboard excitable chemical controller for stimulus-guided navigation of mobile robots. We demonstrate that the Belousov-Zhabotinsky (BZ) reaction in the form of an onboard thin layer chemical... Read More about Experimental implementation of mobile robot taxis with onboard Belousov-Zhabotinsky chemical medium.
Reaction-diffusion navigation robot control: From chemical to VLSI analogic processors (2004)
Journal Article
Rodríguez-Vázquez, A., De Lacy Costello, B., Carmona-Galán, R., Arena, P., Adamatzky, A., Basile, A., …Frasca, M. (2004). Reaction-diffusion navigation robot control: From chemical to VLSI analogic processors. IEEE Transactions on Circuits and Systems I: Regular Papers, 51(5), 926-938. https://doi.org/10.1109/TCSI.2004.827654We introduce a new methodology and experimental implementations for real-time wave-based robot navigation in a complex, dynamically changing environment. The main idea behind the approach is to consider the robot arena as an excitable medium, in whic... Read More about Reaction-diffusion navigation robot control: From chemical to VLSI analogic processors.
Prediction calculation in accuracy-based neural learning classifier systems (2004)
Report
O'Hara, T., & Bull, L. (2004). Prediction calculation in accuracy-based neural learning classifier systems
Voronoi diagrams generated by regressing edges of precipitation fronts (2004)
Journal Article
Hantz, P., de Lacy Costello, B., & Ratcliffe, N. M. (2004). Voronoi diagrams generated by regressing edges of precipitation fronts. Journal of Chemical Physics, 120(5), 2413-2416. https://doi.org/10.1063/1.1635358The Voronoi diagram generated by regression edges of precipitation fronts was analyzed. In the reaction-diffusion system, one of the reagents penetrates into a gel by diffusion and forms a precipitate with the other reagent homogenized in the gel. It... Read More about Voronoi diagrams generated by regressing edges of precipitation fronts.
Trajectories of a DAE near a pseudo-equilibrium (2004)
Journal Article
Beardmore, R. E., Laister, R., & Peplow, A. (2004). Trajectories of a DAE near a pseudo-equilibrium. Nonlinearity, 17(1), 253-279. https://doi.org/10.1088/0951-7715/17/1/015We consider a class of differential-algebraic equations (DAEs) defined by analytic nonlinearities and study its singular solutions. The main assumption used is that the linearization of the DAE represents a Kronecker index-2 matrix pencil and that th... Read More about Trajectories of a DAE near a pseudo-equilibrium.
Building compact rulesets for describing continuous-valued problem spaces using a learning classifier system (2004)
Book Chapter
Wyatt, D., Bull, L., & Parmee, I. (2004). Building compact rulesets for describing continuous-valued problem spaces using a learning classifier system. In I. Parmee (Ed.), Adaptive Computing in Design and Manufacture VI (235-248). Springer
Applying XCSR to Design-Oriented Environments (2004)
Report
Wyatt, D., Bull, L., & Parmee, I. C. (2004). Applying XCSR to Design-Oriented Environments
Nodes: An environment for simulating self-replicating machines (2004)
Book Chapter
Stevens, W. (2004). Nodes: An environment for simulating self-replicating machines. In J. B. Pollack, M. Bedau, P. Husbands, T. Ikegami, & R. A. Watson (Eds.), Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems (39-44). MIT PressA simulation framework is described in which a collection of particles moving in continuous two-dimensional space can be put together to build machines. A self replicating machine has been designed in this environment. It is proposed that an env... Read More about Nodes: An environment for simulating self-replicating machines.
Using genetic programming for feature creation with a genetic algorithm feature selector (2004)
Journal Article
Smith, M. G., & Bull, L. (2004). Using genetic programming for feature creation with a genetic algorithm feature selector. Lecture Notes in Artificial Intelligence, 3242, 1163-1171. https://doi.org/10.1007/978-3-540-30217-9_117The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we primarily examine the use of Genetic Programming and a Genetic Algorithm to preprocess data before it is classi... Read More about Using genetic programming for feature creation with a genetic algorithm feature selector.
Fuzzy XCS: An accuracy-based fuzzy classifier system (2004)
Journal Article
Casillas, J., Carse, B., & Bull, L. (2004). Fuzzy XCS: An accuracy-based fuzzy classifier system
Towards distributed adaptive control for road traffic junction signals using learning classifier systems (2004)
Book Chapter
Bull, L., Sha’Aban, J., Tomlinson, A., Addison, J. D., & Heydecker, B. G. (2004). Towards distributed adaptive control for road traffic junction signals using learning classifier systems. In L. Bull (Ed.), Applications of Learning Classifier Systems (276-299). Springer Berlin/Heidelberg. https://doi.org/10.1007/978-3-540-39925-4_12
A simple payoff-based learning classifier system (2004)
Journal Article
Bull, L. (2004). A simple payoff-based learning classifier system
Learning classifier systems: A brief introduction (2004)
Book Chapter
Bull, L. (2004). Learning classifier systems: A brief introduction. In L. Bull (Ed.), Applications of Learning Classifier Systems (1-12). Springer Berlin/Heidelberg. https://doi.org/10.1007/978-3-540-39925-4_1
Applications of learning classifier systems (2004)
Book
Bull, L. (2004). Applications of learning classifier systems. Springer
Showing 1 - 20 of 23 results