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
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;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.160