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Research on Second-hand car problem based on neural network model

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DOI: 10.23977/jeis.2022.070119 | Downloads: 25 | Views: 948


Fengting Bai 1


1 Faculty of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, 300222, China

Corresponding Author

Fengting Bai


In order to promote the stable development of second-hand car market, this paper constructs a mathematical model to quickly and reasonably predict and evaluate each index of second-hand car. Firstly, the collected large-scale data are cleaned, and then the cleaned data are tested by J-B test. The results show that the P values of all variables are less than the significance level, and the dimension of the data can be reduced by calculating the correlation coefficient. Then, by calculating and selecting 15 variables with large Pearson correlation coefficient with the second-hand car transaction price, the neural network model is established and trained. By adjusting the super parameters and using various methods to optimize the performance of the neural network, it is finally used for the regression prediction of the data, and a more reasonable result is obtained.


second-hand car price, correlation coefficient, neural network


Fengting Bai, Research on Second-hand car problem based on neural network model. Journal of Electronics and Information Science (2022) Vol. 7: 108-112. DOI:


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