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
  • [1] Prediction of Coal Spontaneous Combustion in Goaf Based on the BP Neural Network
    Xie, Zhenhua
    Zhang, Yu
    Jin, Cai
    [J]. INTERNATIONAL SYMPOSIUM ON SAFETY SCIENCE AND ENGINEERING IN CHINA, 2012, 2012, 43 : 88 - 92
  • [2] Prediction of airflow classification effect of wet coal based on BP neural network
    Lang, Jun
    He, Qiongqiong
    Fan, Xumeng
    Huang, Pengfei
    Zhang, Xinxi
    [J]. Meitan Xuebao/Journal of the China Coal Society, 2021, 46 : 1001 - 1010
  • [3] MODELING AND SIMULATION OF COAL GAS CONCENTRATION PREDICTION BASED ON THE BP NEURAL NETWORK
    Xu Lei
    Zhang Zhen
    Ye Sheng
    Lu Guilin
    [J]. 3RD INTERNATIONAL SYMPOSIUM ON INFORMATION ENGINEERING AND ELECTRONIC COMMERCE (IEEC 2011), PROCEEDINGS, 2011, : 170 - 173
  • [4] Prediction for Damage Depth of Coal Seam Floor Based on the BP Neural Network
    Li, Shun-Feng
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE AND APPLICATIONS (ICMSA 2015), 2015, 3 : 14 - 19
  • [5] Modeling and Prediction of Coal Ash Fusion Temperature based on BP Neural Network
    Miao, Suzhen
    Jiang, Qingyin
    Zhou, Hua
    Shi, Jia
    Cao, Zhikai
    [J]. 2015 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND ELECTRICAL SYSTEMS (ICMES 2015), 2016, 40
  • [6] Coal mine safety production forewarning based on improved BP neural network
    Wang Ying
    Lu Cuijie
    Zuo Cuiping
    [J]. International Journal of Mining Science and Technology, 2015, 25 (02) : 319 - 324
  • [7] Evaluation Method of Coal Mine Production Safety Based on BP Neural Network
    Sun Gang
    Zhang Ruixin
    Luo Fen
    Sun Kelei
    Huang Xiaoming
    [J]. 2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, VOL 1, PROCEEDINGS, 2009, : 514 - +
  • [8] Coal mine safety production forewarning based on improved BP neural network
    Wang Ying
    Lu Cuijie
    Zuo Cuiping
    [J]. INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY, 2015, 25 (02) : 319 - 324
  • [9] Strength Prediction of Coal-Based Solid Waste Filler Based on BP Neural Network
    Feng, Feisheng
    Li, Lirong
    Zhang, Jiqiang
    Yang, Zhen
    Chi, Xiaolou
    [J]. FRONTIERS IN MATERIALS, 2021, 8
  • [10] Prediction of oxygen concentration and temperature distribution in loose coal based on BP neural network
    ZHANG Yong-jian
    [J]. International Journal of Mining Science and Technology, 2009, 19 (02) : 216 - 219
12345