| 基于BP神经网络的太原市地面沉降预测及分析 |
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| 引用本文： | 周艳萍.基于BP神经网络的太原市地面沉降预测及分析[J].地质科技情报,2011,30(5):115-118. |
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| 作者姓名： | 周艳萍 |
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| 作者单位： | 榆林学院能源工程学院,陕西榆林,719000 |
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| 基金项目： | 教育部科学技术研究重点项目(104038); 中国地质调查局地质调查项目(200310400009) |
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| 摘 要： | 通过对太原市地面沉降资料、气象水文和地质条件以及地下水等大量资料的分析与整理,考虑到太原市各个沉降中心的沉降趋势不尽相同,对太原市吴家堡、西张、万柏林和下元4个沉降中心分别建立BP神经网络模型,并基于训练好的BP神经网络模型,在太原市地下水开采量的规划方案下,预测了在不同降水保证率下2009-2015年地面沉降的趋势,...
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| 关 键 词： | 地面沉降 BP神经网络 地下水开采量 降水量 |
Land Subsidence Forecast and Analysis of Taiyuan City Based on BP Neural Network |
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| ZHOU Yan-ping.Land Subsidence Forecast and Analysis of Taiyuan City Based on BP Neural Network[J].Geological Science and Technology Information,2011,30(5):115-118. |
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| Authors: | ZHOU Yan-ping |
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| Institution: | ZHOU Yan-ping(Institute of Energy Engineering,Yulin Unviersity,Yulin Shaanxi 719000,China) |
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| Abstract: | Based on the analysis of the massive land subsidence,meteorology and hydrology,geological conditions,and groundwater data in Taiyuan,the paper respectively builds BP neural network for four land subsidence centers with reference to their difference of settlement trend.On the basis of training BP neural network model,the paper forecasts the settlement trend from 2009 to 2015 under the groundwater exploitation planning scheme and different levels of precipitation assurance.It is concluded that the groundwater... |
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| Keywords: | land subsidence BP neural network groundwater exploration precipitation |
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