长江科学院院报2013，Vol.30Issue(1)：99-101,3.DOI:10.3969/j.issn.1001-5485.2013.01.020
Matlab仿真平台下大坝位移BP神经网络模型研究
BP Neural Network Model to Monitor Dam Deformation in Matlab Simulation Platform
朱凤林 1韩卫1
作者信息
- 1. 辽宁省白石水库管理局,辽宁朝阳122000
- 折叠
摘要
Abstract
On the basis of the nonlinear reflection ability of artificial neural network, we established three multi-layer feedforward neural network models in Matlab 7.1 simulation platform to monitor the Baishi reservoir deformation in Liaoning Province. The three models adopt different modified BP algorithms, i. e. LM algorithm, BR algorithm, and GDX algorithm. According to the fitting and prediction results, we compared the application results of the three models and concluded that the BP network based on LM algorithm was more suitable for building dam' s displacement monitoring model to realize real-time and effective monitoring.关键词
Matlab/大坝位移/BP神经网络/改进优化/预报Key words
Matlab/ dam displacement/ BP neural network/ modified algorithm/ prediction分类
建筑与水利引用本文复制引用
朱凤林,韩卫..Matlab仿真平台下大坝位移BP神经网络模型研究[J].长江科学院院报,2013,30(1):99-101,3.
