• DocumentCode
    3629810
  • Title

    3D Function Approximation with rGCS Classifier System

  • Author

    Lukasz Cielecki;Olgierd Unold

  • Author_Institution
    Inst. of Comput. Eng., Control & Robot, Wroclaw Univ. of Technol., Wroclaw
  • Volume
    3
  • fYear
    2008
  • Firstpage
    136
  • Lastpage
    141
  • Abstract
    Extended Classifier Systems (XCS) introduced by Wilson became popular instrument used to solve many real-world problems possible to express with ternary representation. Our new model of real-valued LCS – the rGCS – is designed to classify real valued data. rGCS is based on Grammar-based Classifier System (GCS), which was originally used to process context free grammar sentences. To improve 3D function approximation a covering technique was developed. This procedure replenishes the population of system classifiers with new ones created on the fly to satisfy current state of grammar evolution. As a result there is no need to employ a genetic algorithm.
  • Keywords
    "Function approximation","Intelligent robots","Context modeling","Genetic algorithms","Benchmark testing","Space exploration","Intelligent systems","Application software","Control engineering computing","Design engineering"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA ´08. Eighth International Conference on
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.179
  • Filename
    4696451
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3629810