| 基于灰色神经网络的急倾斜特厚煤层回采巷道变形预测 |
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| 引用本文： | 范公勤,赵小召.基于灰色神经网络的急倾斜特厚煤层回采巷道变形预测[J].煤炭技术,2013,32(1):78-79. |
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| 作者姓名： | 范公勤 赵小召 |
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| 作者单位： | 西安科技大学能源学院,西安,710054 |
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| 摘 要： | 根据碱沟煤矿急倾斜特厚煤层回采巷道矿压观测和支护效果综合分析,利用灰色神经网络对巷道变形进行了预测,总结出了该矿急倾斜特厚煤层回采巷道变形的基本规律,实践证明预测结果比较准确。
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| 关 键 词： | 急倾斜特厚煤层 变形及矿压显现规律 灰色神经网络 |
Deformation Forecast of Roadway in Steep-thick Coal Seam Based on Grey Neural Network |
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| FAN Gong-qin
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ZHAO Xiao-zhao.Deformation Forecast of Roadway in Steep-thick Coal Seam Based on Grey Neural Network[J].Coal Technology,2013,32(1):78-79. |
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| Authors: | FAN Gong-qin ZHAO Xiao-zhao |
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| Affiliation: | (College of Energy Science and Engineering,Xi’an University of Science and Technology,Xi’an 710054,China) |
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| Abstract: | Based on analysis on mine pressure observation data of roadway in steep-thick coal seam in Jiangou Coal Mine,by using the Grey Neural Network,the deformation of the roadway is forecasted.The basic law of roadway deformation in steep-thick coal seam is concluded.The practice has proved that the forecast effect is accurate. |
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| Keywords: | steep-thick coal seam law of the deformation and pressure Grey Neural Network |
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