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
来源：
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016) | 2016年 / 50卷
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
下载
收藏
页码：236 / 239
页数：4
相关论文
共 50 条
  • [1] Prediction of Logistics Demand Based on Grey Neural Network Ensemble
    Xia, Guo-en
    Ma, Lu
    Wang, Dongjiao
    Sun, Zend
    2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2016, : 358 - 366
  • [2] MLP neural network-based regional logistics demand prediction
    Hongpeng Guo
    Cheng Guo
    Beichun Xu
    Yujie Xia
    Fanhui Sun
    Neural Computing and Applications, 2021, 33 : 3939 - 3952
  • [3] MLP neural network-based regional logistics demand prediction
    Guo, Hongpeng
    Guo, Cheng
    Xu, Beichun
    Xia, Yujie
    Sun, Fanhui
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (09): : 3939 - 3952
  • [4] Study on Primary Product Logistics: Demand Prediction Based on Neural Network Theory
    Wang, Xin-Li
    Zhao, Kun
    THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS, 2010, : 560 - 563
  • [5] Research and Application of Urban Logistics Demand Forecast Based on Radial Basic Function Neural Network
    Gao, Meijuan
    Feng, Qian
    Tian, Jingwen
    PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL II, 2009, : 853 - +
  • [6] Research on supply chain demand prediction based on BP neural network algorithm
    Jiangxi University of Finance and Economics, China
    INMATEH Agric. Eng., 2013, 2 (27-34):
  • [7] Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network
    Peng, Hao
    Wu, Han
    Wang, Junwu
    ADVANCES IN CIVIL ENGINEERING, 2020, 2020
  • [8] Research on Financial Risk Evaluation of Railway Logistics Based on BP Neural Network Model
    Li, Mengna
    Yang, Xiangfei
    Xin, Congcong
    Zhang, Jie
    PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC, CONTROL AND AUTOMATION ENGINEERING (MECAE 2018), 2018, 149 : 310 - 314
  • [9] Adaptive Neural Network in Logistics Demand Forecasting
    Yin Yanling
    Bu Xuhui
    Yu Fashan
    INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS, 2008, : 168 - +
  • [10] Logistics demand forecasting model based on improved neural network algorithm
    Ma, Hongjiang
    Luo, Xu
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (04) : 6385 - 6395
12345