| Autor: |
Liu, Beizhan, Bing, Liang |
| Zdroj: |
Fuzzy Information & Engineering 2010; 2010, p591-597, 7p |
| Abstrakt: |
A prediction method that based on combing principal component analysis and support vector machine is proposed. Principal component analysis was used to select input variable. The prediction model considers all-sided influencing factors and avoids the low precision and slow training induced by over-input. The example shows that it eliminates the relevance among factors, reduces the input variables and improves the accuracy and efficiency. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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