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

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yong-wen Ju & Li-xia Qi & Qian-li Sun, 2013. "Study on Early-Warning Assessment in Chinese Coal Mine Safety Based on Genetic Neural Networks," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 1057-1064, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38433-2_111
    DOI: 10.1007/978-3-642-38433-2_111
    as

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