Analysis on Shanghai's Logistics Demand based on BP Neural Network

被引：0
|
作者：
Zhang, Jiantong [1 ]
Yang, Guang [1 ]
机构：
[1] Tongji Univ, Coll Econ & Management, Shanghai 200092, Peoples R China
来源：
2013 10TH IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) | 2013年
关键词：
urban logistics; influencing factors in logistics demand; logistics demand forecast; BP neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes the factors influencing Shanghai's logistics demand, emphasizes on the need in Shanghai's water-way and land-way traffic, uses the software "Matlab R2010a" to apply Time Series BP(Back Propagation) Neural Network and Causal Analysis BP Neural Network in forecasting Shanghai's logistics demand and evaluate its predictive validation. The objective is to provide knowledge and experience for the future research in logistics industry through theoretical and quantitative analysis.
引用
收藏
页码：556 / 561
页数：6
相关论文
共 50 条
  • [1] A Method for Forecasting Regional Logistics Demand Based on BP Neural Network
    Hu, Ping
    Mei, Ting
    Liu, Xiaolin
    Fan, Wenli
    [J]. 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR EDUCATION (ICTE 2016), 2016, : 217 - 220
  • [2] Regional logistics demand forecasting: a BP neural network approach
    Lijuan Huang
    Guojie Xie
    Wende Zhao
    Yan Gu
    Yi Huang
    [J]. Complex & Intelligent Systems, 2023, 9 : 2297 - 2312
  • [3] Regional logistics demand forecasting: a BP neural network approach
    Huang, Lijuan
    Xie, Guojie
    Zhao, Wende
    Gu, Yan
    Huang, Yi
    [J]. COMPLEX & INTELLIGENT SYSTEMS, 2023, 9 (03) : 2297 - 2312
  • [4] Method for Forecasting the Logistics Demand of Shenyang Economic Zone Based on BP Neural Network
    Zhou, Xiao-ye
    Wang, Geng
    Liu, Nan
    [J]. ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2, 2011, 105 : 687 - +
  • [5] Evaluation of Logistics Reputation Based on Principal Component Analysis and BP Neural Network
    Zhang, Ruijun
    Fu, Kui
    [J]. PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON EDUCATION SCIENCE AND ECONOMIC MANAGEMENT (ICESEM 2017), 2017, 106 : 164 - 169
  • [6] The Analysis of Demand Characteristics of Passenger Transportation Based on BP Neural Network
    Liao, Yong
    Wu, Tao
    [J]. SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2, 2013, 409-410 : 1292 - 1295
  • [7] Risk assessment of logistics outsourcing based on BP neural network
    Liu Xiao-feng
    Tian Zi-you
    [J]. PIAGENG 2013: INTELLIGENT INFORMATION, CONTROL, AND COMMUNICATION TECHNOLOGY FOR AGRICULTURAL ENGINEERING, 2013, 8762
  • [8] Analysis of Taxi Supply and Demand Matching Degree Based on BP Neural Network
    Li Yajing
    [J]. PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 35 : 497 - 501
  • [9] Prediction of Logistics Demand Based on Grey Neural Network Ensemble
    Xia, Guo-en
    Ma, Lu
    Wang, Dongjiao
    Sun, Zend
    [J]. 2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2016, : 358 - 366
  • [10] Logistics risk and demand research based on neural network prediction
    Wang, Xiaoli
    [J]. PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 236 - 239
12345