Grey neural network model and its application in coal demand prediction

被引:1
作者
机构
[1] Henan University of Urban Construction, Pingdingshan
来源
Qiuhong, L. | 1600年 / Asian Network for Scientific Information卷 / 12期
关键词
Coal demand; Forecasting; Grey neural network model; Grey system; Neural network;
D O I
10.3923/itj.2013.7050.7055
中图分类号
学科分类号
摘要
Grey Neural Network is an innovative intelligent computing approach combing grey system model and neural net-work, which makes full use of the similarities and complementarities between grey system model and neural network to settle the disadvantage of applying grey model and Neural Network separately. Therefore, the Grey Neural Network model can be applied practically in a wide range. Coal is basic energy in China and it supports the rapid development of the national economy. Therefore the forecast of coal demand is particularly important for the rational use of coal resources and the sound development of China economy. In recent years, there are some limitations of the demand for coal forecast. The three layers grey neural network model is established based on Matlab technology and to be simulated in this study. After actual data testing, the coal demand is forecasted with the methods. ©2013 Asian Network for Scientific Information.
引用
收藏
页码:7050 / 7055
页数:5
相关论文
共 50 条
[21]   An Integrated Model Combining Grey Methods and Neural Networks and Its Application to Bursty Topic Tendency Prediction [J].
Hong, Yuling ;
Zhang, Qishan ;
Yang, Yingjie ;
Wu, Ling .
JOURNAL OF GREY SYSTEM, 2020, 32 (04) :52-64
[22]   The research on the application of neural network technology in the supply chain demand prediction [J].
Peng, Zhizhong .
FIFTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS 1-3: INTEGRATION AND INNOVATION THROUGH MEASUREMENT AND MANAGEMENT, 2006, :684-690
[23]   Neural network for time series prediction and its application [J].
Zhou, YWJ ;
Wang, S .
ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3, 1998, :1041-1044
[24]   RETRACTED: Mechanism of N-addition Grey Neural Network Model and its Application (Retracted Article) [J].
Li, Cuifeng .
2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, PROCEEDINGS, 2009, :372-+
[25]   A Modified Grey Neural Network GNNM(1,1) Model Based on Momentun and Its Application [J].
Shen Yan ;
Bao Jie ;
Sun Hongying .
2012 THIRD GLOBAL CONGRESS ON INTELLIGENT SYSTEMS (GCIS 2012), 2012, :405-408
[26]   Study on Prediction of Coal Demand by The Improved Artificial Fish-swarm Neural Network [J].
You, Wu Chang ;
Tang, Zhang Shun ;
Hong, Yang Jing .
ENERGY AND POWER TECHNOLOGY, PTS 1 AND 2, 2013, 805-806 :1489-1493
[27]   Establishment and Application of Thin Coal Seam Mining Method Prediction Model Based on Improved Neural Network [J].
Lv, Wenyu ;
Zhang, Zhihui .
INTERNATIONAL JOURNAL OF ECOLOGICAL ECONOMICS & STATISTICS, 2015, 36 (02) :1-11
[28]   Water level prediction based on Improved Grey RBF neural network model [J].
Zhang, Jian ;
Lou, Yuansheng .
PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, :775-779
[29]   Unbiased grey prediction model of interval grey numbers and its application by using Cramer rule [J].
Li S.-L. ;
Zeng B. ;
Meng W. .
Kongzhi yu Juece/Control and Decision, 2018, 33 (12) :2258-2262
[30]   Neural ordinary differential grey model and its applications [J].
Lei, Dajiang ;
Wu, Kaili ;
Zhang, Liping ;
Li, Weisheng ;
Liu, Qun .
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 177