DocumentCode :
2517725
Title :
Application of non-uniform B-spline curve fitting based on genetic algorithm in high meteorological detection
Author :
Jianbao, Li ; Tie, Zhang ; Baojing, Sun ; Xin, Tong
Author_Institution :
Coll. Sci., Northeastern Univ., Shenyang, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
2076
Lastpage :
2081
Abstract :
According to the character of the high meteorological detecting data, this paper uses the non-uniform B-spline curve fitting with genetic algorithm to calculate the node vectors, and proposes the optimizing method for creating the chromosome to accelerate the convergence of the algorithm. We establish the non-uniform B-spline curve with less control points which can fit the meteorological detecting data curve within the given precision. The efficiency of our method is validated by the numerical experiments of fitting the feature points of temperature-height curve.
Keywords :
curve fitting; genetic algorithms; geophysics computing; meteorology; splines (mathematics); genetic algorithm; high meteorological detection; meteorological detecting data curve; nonuniform B-spline curve fitting; Biological cells; Feature extraction; Fitting; Genetic algorithms; Process control; Spline; Temperature distribution; genetic algorithm; meteorological detecting; non-uniform B-spline curve fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968546
Filename :
5968546
Link To Document :
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