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| 基于BP神经网络的拱坝温度监测数据预测模型 | |
| 引用本文： | 秦焕瀛,齐辉,彭金辉,张黎明,秦植海. 基于BP神经网络的拱坝温度监测数据预测模型[J]. 水电自动化与大坝监测, 2011, 35(1): 57-59 |
| 作者姓名： | 秦焕瀛 齐辉 彭金辉 张黎明 秦植海 |
| 作者单位： | 1. 河北省献县水利局,河北省献县,062250 2. 国网电力科学研究院/南京南瑞集团公司,江苏省南京市,210003 3. 浙江水利水电专科学校水利系,浙江省杭州市,310018 |
| 基金项目： | 浙江省教育厅科研资助项目(Y200909467); 浙江水利水电专科学校基金资助项目(xky-201005) |
| 摘 要： | 实时监控拱坝的温度对工程进度和坝体安全具有重要意义.以白莲崖碾压混凝土拱坝温度监测数据为研究对象,建立基于MATLAB的拱坝温度监测反向传播(BP)神经网络预测模型,用原型观测数据对其进行校核和检验,并引入灰色理论中的GM(1,1)模型、混沌模型(最大Lyapunov指数法)与预测结果进行比较.结果证明,用人工神经网络建立坝体变形的神经网络模型对大坝变形能够进行较高精度的预测,具有良好的应用前景. |
| 关 键 词： | 拱坝温度监测 反向传播(BP)神经网络 预测模型 MATLAB |
Forecast Model for Temperature Monitoring Data of Arch Dams Based on MATLAB Neural Network |
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| QIN Huanying , QI Hui , PENG Jinhui , ZHANG Liming , QIN Zhihai. Forecast Model for Temperature Monitoring Data of Arch Dams Based on MATLAB Neural Network[J]. HYDROPOWER AUTOMATION AND DAM MONITORING, 2011, 35(1): 57-59 | |
| Authors: | QIN Huanying QI Hui PENG Jinhui ZHANG Liming QIN Zhihai |
| Affiliation: | QIN Huanying1,QI Hui1,PENG Jinhui1,ZHANG Liming2,QIN Zhihai3 (1.Hebei Province Xianxain Water Resources Bureau,Xianxian 062250,China,2.State Grid Electric Power Research Institute,Nanjing 210003,3.Zhejiang Water Conservancy and Hydropower College,Hangzhou 310018,China) |
| Abstract: | Temperature monitoring of arch dams is very important in their construction.Based on the BP neural network theory,a forecast model for temperature monitoring of arch dams is established by means of MATLAB.The temperature monitoring data of Bailianya Arch Dam are studied.The observed data are employed to validate and check the proposed model.By introducing GM(1,1) model in the gray theory and fuzzy model(the largest Lyapunov exponent method),a comparison of the predicted results with the observed data shows ... |
| Keywords: | temperature monitoring of arch dam BP neural network forecasting model MATLAB |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |