| 疏系数自回归模型及其在矿井涌水量预测中的应用 |
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| 引用本文： | 毛善君,许友志.疏系数自回归模型及其在矿井涌水量预测中的应用[J].中国矿业大学学报,1991,20(2):85-90. |
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| 作者姓名： | 毛善君 许友志 |
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| 摘 要： | 作者分析了诸如矿井涌水量等地质时间序列数据的特点以及现有的一些预测预报方法的局限性,引进了一种适合地质特点的数学模型——疏系数自回归模型,并利用该模型处理了大同矿务局某矿的月平均日涌水量数据。从计算结果可以看出,预测的精度满足了生产矿井的实际需要。
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| 关 键 词： | 矿井涌水量 疏系数自回归模型 预测 |
The Sparse Coefficient Autoregression Model and Its Application to Predicting Mine Inflow of Water |
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| Mao Shanjun et al.The Sparse Coefficient Autoregression Model and Its Application to Predicting Mine Inflow of Water[J].Journal of China University of Mining & Technology,1991,20(2):85-90. |
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| Authors: | Mao Shanjun |
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| Affiliation: | Mao Shanjun et al |
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| Abstract: | Mine inflow of water is characterized by time series. This paper puts forward a mathematical model, named sparse coefficient autoregression model, which is suitable to handling mine inflow of water. Example taken from Datong mine area is presented here and it shows that the prediction precision may satisfy the demands of practice. |
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| Keywords: | mine inflow sparse coefficient autoregression model prediction |
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