VHEICLE INTERIROR SOUND QUALITY FORECAST BASED ON SUPPORT VECTOR MACHINE

SHEN Xiumin;ZUO Shuguang;LI Lin;ZHANG Shiwei

Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (6) : 66-68.

PDF(698 KB)
PDF(698 KB)
Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (6) : 66-68.
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VHEICLE INTERIROR SOUND QUALITY FORECAST BASED ON SUPPORT VECTOR MACHINE

  • SHEN Xiumin ;ZUO Shuguang; LI Lin ;ZHANG Shiwei
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Abstract

In this paper the t he multiple linear regression model, neural network forecasting model and support vector machine(SVM) forecasting model are proposed. Take vehicle interior noise for example, established vehicle interior sound quality predict model based on the above three methods. The model out puts are cross –validated by the leave-one-out method and compared with each other. The results indicated that the prediction accuracy of SVM is better than the other two methods. The experiment indicates that SVM possess better robustness and generalization capability, which is the best method to predict vehicle interior sound quality.

Key words

Sound quality / The multiple linear regression / Neural network / Support vector machine / Predict model

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SHEN Xiumin;ZUO Shuguang;LI Lin;ZHANG Shiwei . VHEICLE INTERIROR SOUND QUALITY FORECAST BASED ON SUPPORT VECTOR MACHINE[J]. Journal of Vibration and Shock, 2010, 29(6): 66-68
PDF(698 KB)

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