DocumentCode :
2474458
Title :
Automatic identification of fractal scaling region in GP algorithm
Author :
Chengdong, Wang ; Dan, Ling ; Qiang, Miao
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
262
Lastpage :
265
Abstract :
The identification of the linear segment in the double logarithmic curve, also known as scaling region or non-scale range, is important in Grassberger-Procaccia (GP) algorithm. The second-order derivative of log-log curves within the scaling region should be zero or near to zero because the line is nearly straight in that region. Based on this idea, a new method to automatically determine the fractal scaling region is presented. The time series data of the Lorenz strange attractor is applied to validate the method. The numerical results show that the scaling region can be determined accurately and automatically by this method which is both simple and with clear physical meaning.
Keywords :
chaos; curve fitting; fractals; time series; GP algorithm; Grassberger-Procaccia algorithm; Lorenz strange attractor; automatic identification; double logarithmic curve; fractal scaling region; linear segment identification; log-log curves; time series data; Chaos; Computers; Correlation; Fractals; Heuristic algorithms; Mathematical model; Time series analysis; Fractal; correlation dimension; scaling region; second-order derivative;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
Type :
conf
DOI :
10.1109/ICACIA.2010.5709897
Filename :
5709897
Link To Document :
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