Abstract
Aim. To our knowledge, there does not exist any paper in the open literature on experimental evaluation. Subsection 1.1 of the full paper briefs three classical models: (1) strongest component, (2) vector summation, (3) linear regression. Subsection 1.2 takes from literature eqs. (5) and (6) as criteria for evaluating respectively model prediction performances. Subsection 2.1 designs our experiments. Section 3 gives Table 6 to show that, judging from the available correlation coefficient criterion, the vector summation model has the best performance. It also gives Table 7 to show that, judging from either of the two criteria (eqs. 5 and 6); the strongest component model is the best.
Original language | English |
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Pages (from-to) | 382-386 |
Number of pages | 5 |
Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
Volume | 27 |
Issue number | 3 |
State | Published - Jun 2009 |
Keywords
- Annoyance
- Combined noise
- Correlation methods
- Evaluation
- Experiments