Study on Early-Warning Assessment in Chinese Coal Mine Safety Based on Genetic Neural Networks

Yong-wen Ju (), Li-xia Qi () and Qian-li Sun ()
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Yong-wen Ju: North China University of Water Resources and Electric Power
Li-xia Qi: North China University of Water Resources and Electric Power
Qian-li Sun: North China University of Water Resources and Electric Power

Chapter Chapter 111 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1057-1064 from Springer

Abstract: Abstract The early-warning and pre-control process to recognize potential safety hazard of coal mine based on characteristics of production safety is put forwards in the paper. The warning evaluation index system of coal mine safety which influenced by human, machine and equipment, environment, management and information is established. Then it conducted an empirical study by using an evaluation method of neural network based on genetic algorithm. Evidence shows that the method has better adaptability and high accuracy by combining with an example in supporting persistent effect mechanism for the safety production of coal mine.

Keywords: Coal mine safety; Genetic algorithm; Neural network; Early-warning assessment (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38433-2_111

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DOI: 10.1007/978-3-642-38433-2_111

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