Title :
Safety Early-Warning Model for Coal Mines Based on Artificial Neural Network
Author :
Zeng Qi ; Wang Xu
Author_Institution :
Econ. & Manage. Sch., Henan Polytech. Univ., Jiaozuo, China
Abstract :
With the rapid development of economy part of which is devoted by coal mines, safety evaluation can not be the perfect method to promote the safety level of coal industry especially when factors holding back safe production come up. Thus the early-warning system must be established so as to send out signals before disaster happens. Artificial neural network is the basis in this article to set up early-warning system for coal mines to save both human lives and industry property.
Keywords :
alarm systems; backpropagation; mining industry; neural nets; occupational safety; production engineering computing; artificial neural network; coal industry; coal mines; disaster; human lives; industry property; safety early-warning model; Artificial neural networks; Fuel processing industries; Humans; Multi-layer neural network; Network topology; Neural networks; Neurons; Product safety; Production; Space technology;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5518062