| 基于MATLAB和BP网络的公路软基沉降量预测模型 |
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| 引用本文： | 任芳.基于MATLAB和BP网络的公路软基沉降量预测模型[J].福建工程学院学报,2011,9(4). |
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| 作者姓名： | 任芳 |
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| 作者单位： | 福建交通职业技术学院基础部,福建福州,350007 |
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| 摘 要： | 人工神经网络具有强大的非线性映射能力,文章利用BP神经网络建立了公路软土地基沉降量预测模型,并用MATLAB人工神经网络工具箱进行了实现。根据实测资料,对此预测模型进行训练和预测,试验表明,预测模型具有较好的预测精度,操作简单,具有广阔的工程应用前景。
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| 关 键 词： | BP神经网络 软土地基 沉降量预测 |
Prediction model for settlement of soft ground of highway based on MATLAB and back propagation(BP) artificial neural network |
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| Ren Fang.Prediction model for settlement of soft ground of highway based on MATLAB and back propagation(BP) artificial neural network[J].Journal of Fujian University of Technology,2011,9(4). |
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| Authors: | Ren Fang |
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| Institution: | Ren Fang(Basic Courses Department,Fujian Communications Technology College,Fuzhou 350007,China) |
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| Abstract: | As artificial neural network has a strong nonlinear mapping ability,a prediction model for settlement of soft ground of highway is established via back propagation(BP) artificial neural network.The model is realized by using MATLAB ANN toolbox.Training and prediction of the said model are conducted with field data,which indicates that the model has features of high accuracy of prediction and simple operation with application prospects in engineering. |
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| Keywords: | back propagation(BP) artificial neural network soft ground of highway prediction of settlement |
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