摘要
本文简要叙述沉降观测在软土地基施工中的重要性,并提出了基于神经网络的高速公路工后沉降预测方法。结合工程实例运用MATLAB工具箱函数建立网络模型,选择合适的训练函数,使其训练精度和速度达到最优化。
This paper simply talks about the important of settlement observation in constructing soft ground of highway. And in this paper, the author put forwards to the method of using neural networks based on MATLAB to predict the settlements of soft ground for highway. Building a kind of network model making use of surveying data and toolbox function of MATLAB. In order to achieve the better training precision and speed, the author choose the suitable training function.
出处
《现代测绘》
2006年第2期9-10,共2页
Modern Surveying and Mapping
