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