A New Logistic Management Quality Evaluation Method based on Support Vector Machine

DOI

10.2991/iccse-15.2015.27How to use a DOI?

Keywords

Logistics management; Support vector machine; quality evaluation

Abstract

In order to achieve more effective logistics management, make full use of data resources, and build in line with the development of a healthy enterprise logistics management mode. A new analysis model for evaluating the quality level of logistics management based on support vector machine theory is put forward. Through analyzing the influence factors in the logistics business process, the proposed model forecasts management efficiency of logistics operations implementation, and provide theoretical support for logistics management system optimization. Compared with the BP neural network model, the support vector machine has a more accuracy and efficiency, which is feasible for the quality evaluation of logistics management.

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/).

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TY  - CONF
AU  - Si-yun Xu
AU  - Zheng Fu
PY  - 2015/07
DA  - 2015/07
TI  - A New Logistic Management Quality Evaluation Method based on Support Vector Machine
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 157
EP  - 162
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.27
DO  - 10.2991/iccse-15.2015.27
ID  - Xu2015/07
ER  -