DocumentCode
569433
Title
Fractional Order Relative Correlation Algorithm of Uncertain Time Sequence
Author
Hou, Mingliang ; Liu, Yuran ; Fu, Yanglie
Author_Institution
Sch. of Copmputer Eng., Huaihai Inst. of Technol., Lianyungang, China
fYear
2012
fDate
17-19 Aug. 2012
Firstpage
647
Lastpage
650
Abstract
In order to improve the correlation accuracy of correlation algorithm, the fractional order relative correlation algorithm of uncertain time sequences is proposed in this paper. By taking advantage of the memory property of fractional order, the algorithm introduces the measurement of fractional order differential for the local trend of time sequence into the correlation algorithm and also analyzes the influences of differential order and noise upon correlation accuracy, provides selection relations between noise level and order. It has been proven with examples that the correlation accuracy of fractional order relative correlation algorithm has increased by two orders of magnitude as compared with relative correlation.
Keywords
correlation theory; sequences; time series; correlation accuracy; correlation algorithm; fractional order differential measurement; fractional order relative correlation algorithm; memory property; noise level; uncertain time sequence; fractional order; relative association; time series; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-2406-9
Type
conf
DOI
10.1109/ICCIS.2012.160
Filename
6300616
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