Research of Strategic Transformation of SMEs in China from International Perspective

DOI

10.2991/msmi-15.2015.28How to use a DOI?

Keywords

China's civil aviation industry, Fuel consumption, BP neural network, GM(1, 1).

Abstract

With market-oriented opening in the China's civil aviation industry and the rapid development of China's economy, China's civil aviation transportation fuel consumption has grown significantly in nearly past three decades. Therefore, it’s a very important strategic significance of the prediction of China's civil aviation transportation fuel consumption. In this paper, by using gray system and neural network approach, combined with China's civil aviation industry 1980-2010 total traffic volume of the data, we establish gray system GM (1,1) model and BP neural network model for civil aviation transport volume. Training and simulation of the back propagation neutral network model and the gray system GM(1,1) are used by MATLAB. BP neural network modeling takes into account three factors: the number of aircraft aviation industry, flight hours and total turnover. The fitting precision of the gray system GM(1,1) model is 64.2% while the fitting precision of the back propagation neutral network model is 90.16%. Thus, the back propagation neutral network model is better for estimating civil aviation fuel consumption.

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)

TY  - CONF
AU  - Qian Cao
PY  - 2015/08
DA  - 2015/08
TI  - Research of Strategic Transformation of SMEs in China from International Perspective
BT  - Proceedings of the 2015 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 153
EP  - 157
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-15.2015.28
DO  - 10.2991/msmi-15.2015.28
ID  - Cao2015/08
ER  -