Now showing items 13-14 of 14

  • Self-learning data processing framework based on computational intelligence: enhancing autonomous control by machine intelligence. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/EALS.2014.7009508, 2014-12)
    RATTADILOK, P. and PETROVSKI, A., 2014. Self-learning data processing framework based on computational intelligence: enhancing autonomous control by machine intelligence. In: Proceedings of IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), 2014. 9-12 December 2014. Piscataway, NJ: IEEE. pp. 87-94.
    A generic framework for evolving and autonomously controlled systems has been developed and evaluated in this paper. A three-phase approach aimed at identification, classification of anomalous data and at prediction of its ...
  • Statistical optimisation and tuning of GA factors. 

    Petrovski, Andrei; Brownlee, Alexander Edward Ian; McCall, John (IEEE http://dx.doi.org/10.1109/CEC.2005.1554759, 2005-09)
    PETROVSKI, A., BROWNLEE, A. and MCCALL, J., 2005. Statistical optimisation and tuning of GA factors. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2005), Volume 1. 2-5 September 2005. New York: IEEE. pp. 758-764.
    This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is based on the methods of statistical ...