• DocumentCode
    3643838
  • Title

    A Front Line algorithm for error estimation in data sets with nonuniform sampling distribution

  • Author

    Daniel Andrzej Piętak;Jacek Wojciechowski;Paweł Jan Napiorkowski

  • Author_Institution
    Faculty of Electronics and Information Technology, Warsaw University of Technology, Poland
  • fYear
    2011
  • Firstpage
    210
  • Lastpage
    213
  • Abstract
    A new method for the heuristic error estimation, based on nonuniform sampling, is presented. The error is defined as a maximal allowable change of the particular parameter implying small (preset) change of the objective function value. The method is suited to the sampling obtained from a genetic algorithm. The study case is shown. Application to Coulomb Excitation experiments (nuclear physics) data analysis in multidimensional space is outlined.
  • Keywords
    "Genetic algorithms","Optimization","Error analysis","Shape","Data analysis","Accuracy","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Circuit Theory and Design (ECCTD), 2011 20th European Conference on
  • Print_ISBN
    978-1-4577-0617-2
  • Type

    conf

  • DOI
    10.1109/ECCTD.2011.6043319
  • Filename
    6043319
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3643838