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

Analysis on the Human Errors in Coal Mines based on Ant Clustering Algorithm
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摘要 The human error mechanism in coal mine safety is analyzed specifically from safety psychological and physiological factors, worker' s 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.
出处 《International Journal of Technology Management》 2013年第1期61-63,共3页 国际技术管理
关键词 Ant Clustering Algorithm Coal Mine Human Errors 煤矿安全生产 蚁群聚类算法 人为错误 安全管理 生理因素 安全教育 机械设备 分类模型
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