| 社上水库原型观测分析中的三种优选模型对比研究 |
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| 引用本文： | 周清勇,胡国平,洪文浩,熊磊.社上水库原型观测分析中的三种优选模型对比研究[J].江西水利科技,2017(3):183-187. |
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| 作者姓名： | 周清勇 胡国平 洪文浩 熊磊 |
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| 作者单位： | 江西省水利科学研究院;江西省水工安全工程技术研究中心,江西省水利科学研究院;江西省水工安全工程技术研究中心,江西省水利科学研究院;江西省水工安全工程技术研究中心,江西省水利科学研究院;江西省水工安全工程技术研究中心 |
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| 摘 要： | 建立实用的大坝原型观测模型,能有效地拟合和预测大坝安全监测量.本文在土石坝监测量长系列观测资料分析的基础上,通过BP神经网络、逐步回归和多元回归进行拟合分析.结果表明,BP神经网络拟合效果优于逐步回归,逐步回归拟合效果优于多元回归.
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| 关 键 词： | 大坝原型观测 BP神经网络 多元回归 逐步回归 模型对比 |
Comparative Study on Preferred model of prototype observation
and analysis of The SheShang Reservoir |
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| Zhou qingyong,Hu guopiing,Hong wenhao and Xiong lei.Comparative Study on Preferred model of prototype observation
and analysis of The SheShang Reservoir[J].Jiangxi Hydraulic Science & Technology,2017(3):183-187. |
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| Authors: | Zhou qingyong Hu guopiing Hong wenhao and Xiong lei |
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| Affiliation: | Jiangxi Institute of Water Sciences;Jiangxi Provincial Engineering Technology Research Center on Hydraulic Structures,Jiangxi Institute of Water Sciences;Jiangxi Provincial Engineering Technology Research Center on Hydraulic Structures,Jiangxi Institute of Water Sciences;Jiangxi Provincial Engineering Technology Research Center on Hydraulic Structures and Jiangxi Institute of Water Sciences;Jiangxi Provincial Engineering Technology Research Center on Hydraulic Structures |
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| Abstract: | To establish the dam prototype observation model can effectively fit and predict the dam safety monitoring amount. Based on the dam long series of observations and Monitoring analysis, BP neural network, regression and multiple regression analysiswere fitted. The results showed that the fitting effect of BP neural network is better than stepwise regression, stepwise regression is better than multiple regression. |
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| Keywords: | Prototype observation of Dam BP neural network Multiple regression Stepwise regression Model comparison |
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