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
Link To Document