Evaluating experimentally accumulation of combined noise annoyance

Liang Yan, Ke'an Chen, Jie Wang

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)382-386
页数5
期刊Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
27
3
出版状态已出版 - 6月 2009

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