| 基于人工神经网络的土石坝震损病害的预测研究 |
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| 引用本文： | 孙启亮,罗珠莲.基于人工神经网络的土石坝震损病害的预测研究[J].吉林水利,2011(5):8-12. |
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| 作者姓名： | 孙启亮 罗珠莲 |
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| 作者单位： | 1. 四川大学水利水电学院,四川成都,610065
2. 四川大学工程设计研究院,四川成都,610065 |
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| 摘 要： | 本文介绍了基于L-M(Levenberg-Marquardt)算法的BP神经网络模型,利用模型对土石坝进行损害预测.选取243座震损土石坝水库为研究对象,确定土石坝裂缝、渗漏、滑坡为本次预洲的指标.同时采集243座水库震损土石坝的裂缝、渗漏、滑坡等三大震损病害资料,通过专家意见划分其等级,作为实测值.经过神经网络模型反...
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| 关 键 词： | 人工神经网络 BP神经网络 Levenberg-Marquardt算法 震害预测 |
The study of the prediction of seismic damages of earth and rock dams based on artificial neural network |
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| Sun Qi-liang,Luo Zhu-lian.The study of the prediction of seismic damages of earth and rock dams based on artificial neural network[J].Jilin Water Resources,2011(5):8-12. |
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| Authors: | Sun Qi-liang Luo Zhu-lian |
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| Affiliation: | Sun Qi-liang,Luo Zhu-lian |
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| Abstract: | This paper introduced BP neural network model which predicting seismic damage of earth and rock dams based on LM(Levenberg-Marquardt) algorithm.243 earth and rock dams which had seismic damages are selected for the study,the indicators for predicting the dam cracks,leaks and landslide are chosen.In the meantime the information of cracks,leaks and landslide about these dams was collected,and was divided and the grades were given by exports,which were used as actual measured values.Experiencing the neural net... |
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| Keywords: | artificial neural network BP neural network Levenberg-Marquardt algorithm seismic damage prediction |
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