Approximate Calculation about Standard Normal Distribution with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Ming Zhang and Yongquan Zhou",
  title =        "Approximate Calculation about Standard Normal
                 Distribution with Genetic Programming",
  booktitle =    "Third International Conference onInformation and
                 Computing (ICIC), 2010",
  year =         "2010",
  month =        "4-6 " # jun,
  volume =       "3",
  pages =        "17--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, genetic programming, engineering
                 calculation, least square method, probability
                 distribution, standard normal distribution, statistical
  DOI =          "doi:10.1109/ICIC.2010.187",
  notes =        "Sch. of Sci., Dalian Fisheries Univ., Dalian, China
                 Also known as \cite{5513909}",

Genetic Programming entries for Ming Zhang Yongquan Zhou