| BP神经网络模型应用于大坝原型观测研究 |
| |
| 引用本文： | 李少华,董增川.BP神经网络模型应用于大坝原型观测研究[J].水利与建筑工程学报,2004,2(2):31-33. |
| |
| 作者姓名： | 李少华 董增川 |
| |
| 作者单位： | 河海大学水资源环境学院,南京,210098;河海大学水资源环境学院,南京,210098 |
| |
| 摘 要： | 针对传统的多元线性回归方法的不足,提出将BP神经网络模型应用于大坝原型观测数据处理。并介绍了BP神经网络模型的结构和算法,以及训练样本的归一化处理方法;将BP模型应用于黑河金盆水库大坝原型观测,结果表明,其模拟和预测效果均优于多元线性回归模型。
|
| 关 键 词： | 大坝原型观测 BP神经网络 归一化 |
| 文章编号： | 1672-1144(2004)02-0031-03 |
| 修稿时间： | 2003年12月30 |
Application of BP Neural Network Model in Dam Deformation Monitoring |
| |
| LI Shao-hua,DONG Zeng-chuan.Application of BP Neural Network Model in Dam Deformation Monitoring[J].Journal of Water Resources Architectural Engineering,2004,2(2):31-33. |
| |
| Authors: | LI Shao-hua DONG Zeng-chuan |
| |
| Abstract: | Aiming at the limitation of traditional method of statistical model, BP neural network model is advanced for the analysis of dam deformation monitoring data in this paper. Structure and algorithm of BP neural network model are introduced together with the normalization of sample data. The application of this model in Heihe Jinpen Reservoir shows that its precision is prior to that of statistical model. |
| |
| Keywords: | dam deformation monitoring BP neural network normalization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
