Abstract
The probabilistic properties of the extreme value of environmental factor are described by the maximum entropy distribution for its excellent adaptability. Because LS-SVM has some important properties such as good generalization and excellent learning, it is employed to calculate the moment of the environmental factor according to short-term observation data and based on the extreme value samples obtained by Bootstrap method. The parameters of maximum entropy distribution can be calculated by the moments, so a new method for the distribution of the environmental factor based on short-term observation data is obtained. The method is verified by simulation experiment and actual data.
| Original language | English |
|---|---|
| Pages (from-to) | 176-181 |
| Number of pages | 6 |
| Journal | Gongcheng Lixue/Engineering Mechanics |
| Volume | 26 |
| Issue number | 3 |
| State | Published - Mar 2009 |
| Externally published | Yes |
Keywords
- Bootstrap
- Environmental factor
- Least squares-support vector machine (LS-SVM)
- Maximum entropy
- Short-team observation data
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