基于支持向量机的车内噪声声品质预测

Interior Vehicle Noise Quality Prediction Using Support Vector Machines

提出了采用支持向量机的车内噪声声品质预测方法,对采集的车内噪声样本采用基于小样本理论的支持向量机回归方法,建立车内噪声声品质客观评价参量与主观评价结果的关系模型对车内噪声声品质进行预测。实例分析表明,选取适当的车内噪声声品质客观评价参量,利用支持向量机回归方法建立的车内噪声声品质预测模型的预测精度较高。

After summarizing the regression problem,the support vector machine (SVM) theory and the study of interior vehicle noise quality,this paper presented a method for prediction of interior vehicle noise quality based on SVM.A model of correlation between objective assessment parameters of noise quality and subjective evaluation results was established by using the support vector machine regression.By selecting appropriate objective assessment parameters of noise quality,the model has a high accuracy of prediction.The results show the method is effective.