Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Automotive Customer Service Evaluation Based on BP Neural Network

Authors
Juan Liu, Jichen Fang
Corresponding Author
Juan Liu
Available Online November 2015.
DOI
10.2991/itms-15.2015.9How to use a DOI?
Keywords
Automotive Service; Customer Satisfaction; BP Neural Network
Abstract

It is very important to evaluate the automotive customer service for people, but do not have a unified standard to it. Through the research of BP network, we established automotive service satisfaction evaluation model based on BP neural network. Then, evaluated the performance of service satisfaction in the area where the object of 14 service stations in the fourth quarter 2013, analysed the evaluation examples using matlab. Evaluation study results showed that: the model evaluation results are basically consistent with the actual situation, this model is suitable for the evaluation of automotive service. Proved that the comprehensive evaluation of BP neural network have speed computation, high efficiency, strong self-learning and wide adaptability.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/itms-15.2015.9
ISSN
2352-538X
DOI
10.2991/itms-15.2015.9How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Juan Liu
AU  - Jichen Fang
PY  - 2015/11
DA  - 2015/11
TI  - Automotive Customer Service Evaluation Based on BP Neural Network
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 35
EP  - 38
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.9
DO  - 10.2991/itms-15.2015.9
ID  - Liu2015/11
ER  -