摘要
鉴于各种传统的大坝变形监测方法必然造成信息量的丢失,有必要寻找一种可以最大化利用各种拟合方法所包含的信息,并最终达到提高高程拟合精度的方法。提出了基于BP神经网络方法与逐步回归方法的组合模型,研究了将该组合模型用于大坝变形监测的精度和可行性,通过具体工程实例验证,详细介绍了该组合模型在大坝变形监测中的应用。
In the light of that various traditional methods of monitoring dam deformation will inevitably cause the loss of information, it is necessary to find a method that can maximize the use of the information contained in all kinds of fitting method and eventually to improve elevation fitting precision. This paper proposes a combination model based on BP neural network method and stepwise regression method, studies the feasibility and precision of this combination model applied in dam’s deformation monitoring, and through an engineering example’s verification, introduces in detail the application of this combination model in dam’s deformation monitoring.
出处
《山西科技》
2015年第5期40-42,共3页
Shanxi Science and Technology
关键词
水利大坝
变形监测
组合模型
hydropower dam
deformation monitoring
combination model
