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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dai-Ping Jia Li-Juan Wu Hong-Da Fan |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., Shandong Inst. of Bus. & Technol. (Dai-Ping Jia; Li-Juan Wu) |
| Abstract | Correlation analysis on residuals is a classical checking method for dynamic stochastic modeling. By fusing information entropy and residual correlation in dynamic model analysis, the paper presents a new approach of model checking based on whiteness test and information entropy, and proposes a new diagnostic quantity named "residual entropy", which indicates the amount of information left in residual series. On normal distribution hypothesis about residuals, the paper gives the estimation expressions of residual entropy, and illustrates its application. The result of experiment shows that residual entropy is a useful diagnostic quantity in stochastic modeling. Performance comparison with the conventional methods indicates that minimum residual entropy can be applied as an effective checking criterion |
| Sponsorship | IEEE Syst., Man and Cybernetics Hebei Univ. |
| Starting Page | 1630 |
| Ending Page | 1635 |
| File Size | 192928 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424400619 |
| DOI | 10.1109/ICMLC.2006.258897 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Testing Information entropy White noise Aerodynamics Stochastic resonance Gaussian distribution Information analysis Computer science Aerospace engineering Stochastic processes system identification Fire control system whiteness test residual entropy model checking criterion function |
| Content Type | Text |
| Resource Type | Article |
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