吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (增刊): 110-0114.

• paper • Previous Articles     Next Articles

Non-steady noise quality evaluation method based on neural network

GAO Yin-han1, SUN Qiang2, CONG Yu-liang3, CHI Jun-cheng4, TANG Rong-jiang2   

  1. 1.Center of Test Science, Jilin University, Changchun 130022, China|2.College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China|3.College of Communication Engineering, Jilin University,Changchun 130022,China|4.Vehicle Engineering Department, College of Armored Army Technology,Changchun 1301177,China
  • Received:2009-11-09 Online:2010-09-01 Published:2010-09-01

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Abstract:

An approach of using artificial neural network (ANN) to evaluate vehicle nonsteady noise quality was introduced. The results of the interior noise quality subjective evaluation under the accelerating condition were taken as instructive samples, the inputs of ANN were loudness, roughness and level A, the subjective evaluation level of noise quality was the output of ANN. The Matlab neural network toolbox was used to build a back propagation (BP) network based on LevenbergMarguardt algorithm, compared with the multidimensional linear regression model, the results indicated that the neural network model was applied to evaluate nonsteady noise quality, whose performance index (PI) is 0.001, better than the multidimensional linear regression model (0.003).

Key words: vehicle engineering, sound quality, artificial neural network, Levenberg-Marguardt algorithm

CLC Number: 

  • U467.4
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