| 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 |
| 社上水库原型观测分析中的三种优选模型对比研究 |
| Comparative Study on Preferred model of prototype observation and analysis of The SheShang Reservoir |
| |
| DOI： |
| 中文关键词: 大坝原型观测 BP神经网络 多元回归 逐步回归 模型对比 |
| 英文关键词: Prototype observation of Dam BP neural network Multiple regression Stepwise regression Model comparison |
| 基金项目: |
|
| 摘要点击次数: 2266 |
| 全文下载次数: 1771 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
