Logistics risk and demand research based on neural network prediction

被引:0
|
作者
Wang, Xiaoli [1 ]
机构
[1] Zhengzhou Univ Ind Technol, Zhengzhou, Henan, Peoples R China
关键词
Logistics industry; Economic development; Warehouse building;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The logistics industry plays an important role in the economic development, almost every city logistics park has been established. Zhengzhou logistics industry is still in its infancy, but development is rapidly, effectively support the development of regional economic development and change of the pattern of economic development. Zhengzhou lack of understanding of modern logistics, most enterprises can not understand modern logistics, so the current has a lot of logistics park, distribution center internal land design is not reasonable, there is no scientific logistics facilities, there is no comprehensive warehouse building, there is no reasonable guidance, the backward logistics industry make land utilization of the underground, serious resource wasted.
引用
收藏
页码:236 / 239
页数:4
相关论文
共 50 条
  • [41] Demand forecasting model of coal logistics based on drosophila-grey neural network
    Wang, Shudong
    Xing, Qinfeng
    Wang, Xiangqian
    Wu, Qian
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2023, 14 (02) : 807 - 815
  • [42] Predicting the Emergency Logistics Demand for Tropical Cyclone Based on Improved RBF Neural Network
    Yang, Bin
    Zhang, Jian
    Zhao, Lei
    PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2011, 10 : 6 - 12
  • [43] Research on Tourism Talents Demand based on BP Neural Network
    Zhang Mu
    Zhong Zhu-ling
    2012 THIRD INTERNATIONAL CONFERENCE ON EDUCATION AND SPORTS EDUCATION (ESE 2012), VOL II, 2012, 5 : 356 - +
  • [44] Radial Basis Function Neural Network with Particle Swarm Optimization Algorithms for Regional Logistics Demand Prediction
    Hu, Zhineng
    Zhang, Yixin
    Yao, Liming
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2014, 2014
  • [45] Regional logistics demand forecasting: a BP neural network approach
    Lijuan Huang
    Guojie Xie
    Wende Zhao
    Yan Gu
    Yi Huang
    Complex & Intelligent Systems, 2023, 9 : 2297 - 2312
  • [46] Regional logistics demand forecasting: a BP neural network approach
    Huang, Lijuan
    Xie, Guojie
    Zhao, Wende
    Gu, Yan
    Huang, Yi
    COMPLEX & INTELLIGENT SYSTEMS, 2023, 9 (03) : 2297 - 2312
  • [47] Grey Synthetical Prediction Model of Military Logistics Based on Evolutionary Neural Network
    Yu, Jin
    Zhi, Limin
    Qiu, Yunming
    Jin, Le
    Du, Hailu
    INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 1, PROCEEDINGS, 2009, : 663 - 665
  • [48] Research on Prediction of Regional Grain Logistics Demand Based on the Grey-regression Model
    Li, Ye
    Lu, Shan
    PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2015, : 97 - 101
  • [49] Research on Neural Network Based Debris Flow Prediction
    Zhang Wenjiang
    He Zhengwei
    2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, ELECTRONICS AND ELECTRICAL ENGINEERING (ISEEE), VOLS 1-3, 2014, : 1240 - 1242
  • [50] A Research on Prediction of Polyadenylation Sites Based on Neural Network
    Ma, Li
    Yang, Ming
    Sun, Kang
    Li, Tian
    Wang, Fang
    Li, Yue
    2017 IEEE 3RD INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC), 2017, : 799 - 803