• DocumentCode
    584474
  • Title

    The Application of GA-BP Algorithm in 3PML Parameter Estimation

  • Author

    Hua, Wang ; Jing, Chen ; Cuiqin, Ma

  • Author_Institution
    Inf. Eng. Inst., Capital Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1537
  • Lastpage
    1540
  • Abstract
    For IRT Model´s 3PLM parameter estimation, traditional statistical methods cannot solve the problems in the iterative process properly. In this paper, both BILOG algorithm and GA_BP algorithm was applied to a series of project parameters calculations to compare the two methods. The result shows that the application of GA_BP algorithm significantly reduced the initial iteration value required in traditional parameters estimation methods and markedly improved the precision and convergence ability of project parameters. Our investigation suggests GA_BP algorithm is a better method in parameter values estimation with wide applications and great research value.
  • Keywords
    backpropagation; convergence; education; genetic algorithms; iterative methods; parameter estimation; psychology; statistical analysis; 3 parameters logistic model; 3PML parameter estimation; BILOG algorithm; GA-BP algorithm; convergence ability; initial iteration value; item response theory; iterative process; parameter values estimation; project parameters calculations; statistical methods; Algorithm design and analysis; Educational institutions; Encoding; Estimation; Genetic algorithms; Neural networks; Parameter estimation; BILOG algorithm; GA_BP algorithm; Item Response Theory; Parameters estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.385
  • Filename
    6394624