| 回归分析和BP神经网络在地表沉降监测中的应用 |
| |
| 引用本文： | 陈帅,朱小玉,王鹏,姜楠.回归分析和BP神经网络在地表沉降监测中的应用[J].全球定位系统,2012,37(1):92-94. |
| |
| 作者姓名： | 陈帅 朱小玉 王鹏 姜楠 |
| |
| 作者单位： | 安徽理工大学测绘学院,安徽淮南,232001 |
| |
| 摘 要： | 采用回归分析法中的曲线拟合法和BP神经网络模型的数值处理方法,对比两种方法在预测地表沉降中的有效性和准确性,对提高信息预测的精度和准确度有着积极的作用。
|
| 关 键 词： | 回归分析法 BP神经网络 地表沉降 预测 |
Application of Regression Analysis Method and BP Neural Network in Monitoring Surface Subsidence |
| |
| CHEN Shuai,ZHU Xiao-yu,WANG Peng,JIANG Nan.Application of Regression Analysis Method and BP Neural Network in Monitoring Surface Subsidence[J].Gnss World of China,2012,37(1):92-94. |
| |
| Authors: | CHEN Shuai ZHU Xiao-yu WANG Peng JIANG Nan |
| |
| Institution: | (School of Geodesy and Geomatics Anhui University of Science and Technology, Huainan Anhui 232001, China) |
| |
| Abstract: | Validity and accuracy of two kinds of models is compared for forecasting sur- face subsidence based on regression analysis method and BP neural network of numerical treatment methods,and the two models have the positive significance for increasing the preci sion of the information forecast. |
| |
| Keywords: | Regression analysis method BP neural network surface subsidence forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
