Prediction of Coal Production Based on BP Neural Network

被引：0
|
作者：
Wen Mingming [1 ]
机构：
[1] China Univ Min & Technol Beijing, Min Engn Dept, Beijing 100083, Peoples R China
来源：
HIGH PERFORMANCE STRUCTURES AND MATERIALS ENGINEERING, PTS 1 AND 2 | 2011年 / 217-218卷
关键词：
BP neural network; prediction; coal production;
D O I：
10.4028/www.scientific.net/AMR.217-218.1647
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
It is significance to predict coal production for balancing coal supply and demand in China. The primary goal of this research is the prediction of coal production in china. The method used in the study is known as the BP neural network. The BP neural network is designed with the MATLAB simulation software based on coal production historical data from 1980 to 2007. The studies we have performed showed that the prediction of coal production based on BP neural network is reasonable and valuable. Finally, we get the prediction of coal production from 2010 to 2015, and the prediction indicates that the coal production will increase in the next 5 years.
引用
收藏
页码：1647 / 1651
页数：5
相关论文
共 50 条
  • [31] Study on Evaluation of Coal Mine Safety Based on BP Neural Network
    Guo, Kai
    [J]. EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8, 2010, : 3313 - 3316
  • [32] Xi'an Residential Land Prediction Based on BP Neural Network
    Ding, Zhuo
    Zhang, Yan-feng
    [J]. 2ND INTERNATIONAL CONFERENCE ON ADVANCED EDUCATION TECHNOLOGY AND MANAGEMENT SCIENCE (AETMS 2014), 2015, : 404 - 409
  • [33] Prediction of Electric Load for Users Based on BP Neural Network
    Li, Yang
    Xie, Xiangying
    Shan, Liang
    Ma, Dayan
    Zhang, Deping
    [J]. 2018 4TH INTERNATIONAL CONFERENCE ON SYSTEMS, COMPUTING, AND BIG DATA (ICSCBD 2018), 2019, : 15 - 23
  • [34] State Trend Prediction of Spacecraft Based on BP Neural Network
    Yang, Tianshe
    Chen, Bin
    Zhang, Hailong
    Wang, Xiaole
    Gao, Yu
    Xing, Nan
    [J]. PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2, 2013, : 809 - 812
  • [35] Prediction of air freight volume based on BP neural network
    Han, Dechao
    Peng, Yuanyuan
    [J]. PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023, 2023, : 904 - 907
  • [36] Prediction of Manufacturing Quality of Holes Based on a BP Neural Network
    Jiao, Anyuan
    Zhang, Guofu
    Liu, Binghong
    Liu, Weijun
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (06):
  • [37] Study on the Gas Content of Coal Seam based on the BP Neural Network
    Zhang Jianqing
    [J]. ISMSSE 2011, 2011, 26
  • [38] Prediction of Fabric Drape Based on BP Neural Network Paper
    Xia, Shuhui
    Fan, Xiujuan
    [J]. 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020), 2020, : 206 - 210
  • [39] The performance prediction model of NMOSFET based on BP neural network
    Fu, Liang
    Wang, Feng
    [J]. THIRD INTERNATIONAL CONFERENCE ON SENSORS AND INFORMATION TECHNOLOGY, ICSI 2023, 2023, 12699
  • [40] Prediction of Building Energy Consumption Based on BP Neural Network
    Sun, Hailing
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
12345