| 改进BP神经网络模型的地基变形预测 |
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| 引用本文： | 王晓颖.改进BP神经网络模型的地基变形预测[J].测绘与空间地理信息,2017(3). |
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| 作者姓名： | 王晓颖 |
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| 作者单位： | 辽宁省铁岭市测绘管理办公室,辽宁铁岭,112000 |
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| 摘 要： | BP神经网络模型是一种经典的预测模型,被广泛应用于变形分析预测的各个领域。本文采用一定方法以进一步改进BP神经网络模型,并通过灰色Verhulst-BP模型分析软基处理地基的实例数据,结合Matlab语言,编程比较分析预测及实测的数据,得出结果证明改进灰色Verhulst-BP模型的分析预测精度较高,比较适合于建筑地基变形的预测分析。
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| 关 键 词： | 灰色Verhulst-BP模型 建筑地基 变形预测 |
Prediction of Gray Verhulst-BP Improved Model in Foundation Settlement |
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| WANG Xiao-ying.Prediction of Gray Verhulst-BP Improved Model in Foundation Settlement[J].Geomatics & Spatial Information Technology,2017(3). |
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| Authors: | WANG Xiao-ying |
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| Abstract: | BP neural network model is a classical model,which has been widely applied in various fields of the deformation analysis forecast.This paper adopts some methods to further improve the BP neural network model,and through the grey Verhulst-BP model to analyze the instance data of soft soil foundation.Comparative analysis with mat lab language,programming prediction and measured data,the results prove that the analysis of the improved grey Verhulst-BP model prediction accuracy is higher,more suitable for the construction of foundation deformation forecast analysis. |
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| Keywords: | grey Verhulst-BP model building foundation settlement prediction |
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