Analysis on the Human Errors in Coal Mines Based on Ant Clustering Algorithm

Shuang Yue Liu; Zi Xin Fang

doi:10.4028/www.scientific.net/AMM.484-485.634

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 484-485Analysis on the Human Errors in Coal Mines Based...

Analysis on the Human Errors in Coal Mines Based on Ant Clustering Algorithm

Abstract:

The human error mechanism in coal mine safety is analyzed specifically from safety psychological and physiological factors, workers quality, safety management, safety education, mechanical equipment, and working environment, and also a human error dominant factors classification model playing a great effect on the safety production of coal mine is established with the application of ant clustering algorithm. The experimental results show that management is the key in the human errors of coal mine.

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Periodical:

Applied Mechanics and Materials (Volumes 484-485)

Pages:

634-638

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.484-485.634

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Online since:

January 2014

Authors:

Shuang Yue Liu*, Zi Xin Fang

Keywords:

Ant Clustering Algorithm, Coal Mine, Human Errors

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* - Corresponding Author

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