Prediction of Coal Production Based on BP Neural Network

Ming Ming Wen

doi:10.4028/www.scientific.net/AMR.217-218.1647

Paper Titles

Research of Microstructure and Property of Laser Alloying on the Surface of P20 Steel Compared with Nitriding
p.1629

Technical Parameters Model of Laser Direct Metal Deposition
p.1633

Research on Fully Mechanized Coal Face Hydraulic Support Selection Based on the Testing Principle of Floor Specific Pressure
p.1637

Pressure Regularity Study of Three Soft Complex Coal Caving Coal Face
p.1641

Prediction of Coal Production Based on BP Neural Network
p.1647

The Electronic Structures and Magnetic Properties of Co(endi)₂(N₃)₂
p.1652

Numerical Analysis about Flexural Strengthening Reinforced Concrete Beams by Bolting Steel Plates
p.1658

Detection and Linking Algorithm Based on Improved Snake Model for Pores with Weak Contour
p.1663

Strength Prediction and Test of FRP Composite Laminates with Central Hole
p.1669

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 217-218Prediction of Coal Production Based on BP Neural...

Prediction of Coal Production Based on BP Neural Network

Abstract:

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.

You might also be interested in these eBooks

High Performance Structures and Materials Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 217-218)

Pages:

1647-1651

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.217-218.1647

Citation:

Cite this paper

Online since:

March 2011

Authors:

Ming Ming Wen

Keywords:

BP Neural Network (BPNN), Coal Production, Prediction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Changjun Zhu, Xiujuan Zhao. Application of Artificial Neural Network in the Prediction of Output in Oilfield. Apr. 2009 Proceedings of the 2009 International Joint Conference on Artificial Intelligence. pp: 155-158.

DOI: 10.1109/jcai.2009.93

Google Scholar

[2] Gao Lihua, Credit evaluation on small and medium enterprises based on BP neural network. Commercial Modernization, 2006, pp: 36-37.

Google Scholar

[3] Zhou Min, The application of Artificial Neural Networks on financial forecasting, academic journal of xi'an jiao tong university. 2008, 2, 90-92.

Google Scholar