| 基于BP神经网络的矿区地表沉降预测研究 |
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| 引用本文： | 成枢,隋冰冰,沈毅,王涛.基于BP神经网络的矿区地表沉降预测研究[J].测绘与空间地理信息,2015(3):18-20. |
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| 作者姓名： | 成枢 隋冰冰 沈毅 王涛 |
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| 作者单位： | 山东科技大学测绘科学与工程学院,山东青岛,266590 |
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| 摘 要： | BP神经网络具有非常强的非线性映射能力,广泛应用于分类识别、逼近、回归、压缩等领域。本文基于BP神经网络的理论基础,利用某矿区地表沉降观测点1~10期的实测沉降数据资料,结合MATLAB建立针对矿区地表沉降的预测模型,并预测其11~15期的沉降情况。通过将预测值与实测值进行对比,分析预测模型精度,结果表明BP神经网络用于矿区地表的沉降研究是可行的。
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| 关 键 词： | BP神经网络 地表沉降 预测模型 |
Prediction of Mining Ground Settlement Based on BPN eural Network |
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| CHENG Shu,SUI Bing-bing,SHEN Yi,WANG Tao.Prediction of Mining Ground Settlement Based on BPN eural Network[J].Geomatics & Spatial Information Technology,2015(3):18-20. |
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| Authors: | CHENG Shu SUI Bing-bing SHEN Yi WANG Tao |
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| Institution: | CHENG Shu;SUI Bing-bing;SHEN Yi;WANG Tao;College of Geomatics,Shandong University of Science and Technology; |
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| Abstract: | BP neural network has very strong nonlinear mapping ability, wide reaction for classification and recognition, approxima-tion, regression, compression and other fields.In this paper, the theoretical basis based on BP neural network, the use of a mining area subsidence observation point 1-10 period of the settlement data, combined with MATLAB for establishing prediction model of surface subsidence in mine, and to predict the 11-15 period of settlement.The predicted values were compared with the measured values, the analysis of the accuracy of the prediction model, the results show that the BP neural network is used to study the surface subsidence in mining area is feasible. |
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| Keywords: | BP neural network mining ground settlement prediction model |
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