• DocumentCode
    522887
  • Title

    Approximate Calculation about Standard Normal Distribution with Genetic Programming

  • Author

    Zhang, Ming ; Zhou, Yongquan

  • Author_Institution
    Sch. of Sci., Dalian Fisheries Univ., Dalian, China
  • Volume
    3
  • fYear
    2010
  • fDate
    4-6 June 2010
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    Normal distribution is a most widely used probability distribution in engineering calculation and analysis, which is commonly transformed into standard normal distribution to research. This paper presents a new hybrid method of genetic programming and least square method to calculate function values of standard normal distribution, based on determining the function value of standard normal distribution by checking table have many limits and bring huge inconvenience to the engineering application. The simulating results show that the algorithm has the advantages of high speed and precision, easy for using.
  • Keywords
    genetic algorithms; statistical distributions; engineering calculation; genetic programming; least square method; probability distribution; standard normal distribution; Distributed computing; Distribution functions; Gaussian distribution; Genetic engineering; Genetic mutations; Genetic programming; Least squares approximation; Least squares methods; Optimization methods; Probability; distribution function; genetic programming; least square method; normal distribution; standard normal distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing (ICIC), 2010 Third International Conference on
  • Conference_Location
    Wuxi, Jiang Su
  • Print_ISBN
    978-1-4244-7081-5
  • Electronic_ISBN
    978-1-4244-7082-2
  • Type

    conf

  • DOI
    10.1109/ICIC.2010.187
  • Filename
    5513909