Name
Abstract | ||
|---|---|---|
In order to improve the correlation accuracy of correlation algorithm, the fractional order 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 correlation algorithm has increased by one orders of magnitude as compared with slope correlation. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.4304/jcp.7.8.1865-1869 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
fractional order, uncertainty, time series, association | Orders of magnitude (numbers),Mathematical optimization,Correlation integral,Pattern recognition,Correlation algorithm,Noise level,Algorithm,Correlation,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
7 | 8 | 1796-203X |
Citations | PageRank | References |
1 | 0.48 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingliang Hou | 1 | 5 | 3.35 |
| Yuran Liu | 2 | 2 | 1.87 |
| Yun Hu | 3 | 47 | 8.64 |