Forecast of port freight volume based on grey RBF neural network combination model

被引：0
|
作者：
Jiao, Yang [1 ]
Li, Lianbo [1 ]
Zhu, Zhenyu [1 ]
Wu, Wenhao [1 ]
机构：
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
来源：
SIXTH INTERNATIONAL CONFERENCE ON ELECTROMECHANICAL CONTROL TECHNOLOGY AND TRANSPORTATION (ICECTT 2021) | 2022年 / 12081卷
基金：
国家重点研发计划;
关键词：
Port freight volume; Grey model; RBF neural network;
D O I：
10.1117/12.2624229
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The prediction of port freight volume is of great significance to transportation and port planning. Based on the characteristics of grey GM (1,1) model and RBF neural network model, a combined forecasting model based on grey GM (1,1) model and RBF neural network model is constructed, and the port freight volume is predicted by field survey data. Experiments show that grey RBF neural network can improve the forecasting accuracy, which is effective and feasible for freight volume forecasting.
引用
收藏
页数：7
相关论文
共 50 条
  • [1] Prediction of Freight Volume Based on Grey Correlation and Improved Grey Neural Network
    Jiang, Yong
    Wan, Jiangping
    [J]. PROCEEDINGS OF NINETEENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, 2020, : 1 - 9
  • [2] Data-Based State Forecast via Multivariate Grey RBF Neural Network Model
    Guo, Yejun
    Kang, Qi
    Wang, Lei
    Wu, Qidi
    [J]. ADVANCES IN SWARM INTELLIGENCE, PT1, 2014, 8794 : 294 - 301
  • [3] Device Status Forecast Model Based on RBF Neural Network
    Chen, Shuqiao
    [J]. 2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, : 1342 - 1345
  • [4] Freight Volume Forecast of Wuhan City Circle Based on Wavelet Neural Network
    Yang, Zhengxiang
    Xu, Guimin
    [J]. PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING, 2016, 32 : 342 - 348
  • [5] Forecast of Passenger and Freight Traffic Volume Based on Elasticity Coefficient Method and Grey Model
    Wang, Youan
    Chen, Xumei
    Han, Yanhui
    Guo, Shuxia
    [J]. INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013), 2013, 96 : 136 - 147
  • [6] A forecast model based on RBF neural network for local financial revenue
    Huang, J.
    Yong, S. L.
    Xiong, Q. Y.
    Chen, J.
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 4022 - 4025
  • [7] The Research on Combination Forecast Method of Order Quantity Based on Grey Neural Network
    Zhou Yewang
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012), 2012, 23
  • [8] FORECAST OF LOGISTICS DEMAND BASED ON GREY DEEP NEURAL NETWORK MODEL
    Yuan, Wen-Jing
    Chen, Jian-Hua
    Cao, Jing-Jing
    Jin, Ze-Yi
    [J]. PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1, 2018, : 251 - 256
  • [9] Grey forecast model for torpedo development cost based on neural network
    Liang, Qingwei
    Zhao, Minquan
    Wang, Mengni
    [J]. INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2017, 46 (08) : 1621 - 1626
  • [10] Research on the Combination Forecast Model based on the BP Neural Network
    Zong, Shengwang
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, 2015, 17 : 49 - 53
12345