Research on Railway Logistics Resources Optimization Theory
Chengxia Dai, Zhifeng Zhao
Available Online April 2019.
- https://doi.org/10.2991/ismss-19.2019.2How to use a DOI?
- Railway logistics system; integration optimization; BP neural network algorithm; application
- In the increasingly competitive logistics market, it is very important to scientifically, effectively and objectively evaluate the validity of integration optimization of the railway logistics resources and the core of logistics enterprises. Supported by the multidisciplinary theory, based on the method combined with theory and practice, this paper uses BP neural network algorithm to conduct empirical analysis of the core capability of China’s railway logistics enterprises, and uses AHP method to prove the accuracy of results and obtain a conclusion that the core competition of China’s railway is increasingly enhanced, thus providing a theoretical and practical reference for the development of China’s railway logistics.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chengxia Dai AU - Zhifeng Zhao PY - 2019/04 DA - 2019/04 TI - Research on Railway Logistics Resources Optimization Theory BT - The First International Symposium on Management and Social Sciences (ISMSS 2019) PB - Atlantis Press SP - 6 EP - 11 SN - 2352-5398 UR - https://doi.org/10.2991/ismss-19.2019.2 DO - https://doi.org/10.2991/ismss-19.2019.2 ID - Dai2019/04 ER -