灰色马尔可乎动态链及其在煤矿安全预测中的作用
Gray Markov dynamics chain and its role in forecasting coal mine safety
将灰色系统理论与离散状态的马尔可夫链理论相结合,提出了灰色马尔可夫预报模型以预测全国煤矿死亡人数,该模型针对灰色数据系列首先建GM(1,1)模型进行趋势预测,然后利用马尔可夫状态概率转移矩阵预报方法对2005年人数进行预测,计算表明此方法提高了精度,是可行的。
ombining the gray system theory and the discrete-state Markov chain theory, this paper proposes the Gray-Markov forecasting model to predict the death toll in coal mines. The model firstly makes trend prediction by establishing a gray GM (1,1) model in view of the grey data series, and then use the transfer matrix of Markov state probability forecasting method to predict the number of death in 2005. Calculations show that this method is feasible for it improves the accuracy.
曹明、王政、王长伟、杨增强、曹振兴、王晓卿
矿山安全、矿山劳动保护矿业工程理论与方法论
灰色马尔可乎煤矿安全
GreyMarkovoal Mine Safety
曹明,王政,王长伟,杨增强,曹振兴,王晓卿.灰色马尔可乎动态链及其在煤矿安全预测中的作用[EB/OL].(2009-11-16)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200911-422.点此复制
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