Evaluation Method of Coal Mine Production Safety Based on BP Neural Network

Author

Sun Gang ; Zhang Ruixin ; Luo Fen ; Sun Kelei ; Huang Xiaoming

Author_Institution

Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China

Volume

1

fYear

2009

fDate

25-26 July 2009

Firstpage

514

Lastpage

517

Abstract

Based on the theory of system engineering, coal mine production safety has been analyzed. From workers, production process, coal production and economy, coal mine production safety evaluation indexes have been confirmed, and then the BP neural network model of coal mine production safety evaluation has been built. After training and testing the model, the model can accurately evaluate the coal mine production safety. It is of great guiding significance for coal mine production safety.

Keywords

backpropagation; coal; mining industry; neural nets; production engineering computing; safety; BP neural network; artificial intelligence; coal mine production safety; coal production; production process; Artificial neural networks; Information technology; Mean square error methods; Neural networks; Neurons; Product safety; Production systems; Railway safety; Sun; Systems engineering and theory; BP neural network; artificial intelligence; coal mine production safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Computer Science, 2009. ITCS 2009. International Conference on

Conference_Location

Kiev

Print_ISBN

978-0-7695-3688-0

Type

conf

DOI

10.1109/ITCS.2009.112

Filename

5190124