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/).
Cite this article
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 -