模糊神经网络在变形监测预报中的应用研究  

Research on the methed of deformation monitoring prediction based on fuzzy neural netwrok

作　　者：卢祥[1] 马友利[1] 王芳洁[1] 陈刚[1] 

机构地区：[1]中国地质大学信息工程学院,武汉430074

出　　处：《测绘科学》2010年第S1期113-114,共2页Science of Surveying and Mapping

摘　　要：为了提高变形监测数据分析、预测精度和可靠性,本文尝试将模糊逻辑和神经网络结合的方法应用到变形监测数据处理中,分别用其他方法进行预测,通过实例数据分析比较得出结论:模糊神经网络在变形监测预报中预测精度更高、更优越,将在大坝监测预报中得到更广泛应用。To improve the accuracy and reliability of deformation monitoring data on analyzing and forecasting,this paper attempted to apply the method that combines fuzzy logic and neural network in deformation monitoring data process,and predicted with other methods accordingly,then came to a conclusion through the comparison of instance data that fuzzy neural network for deformation monitoring forecasting was more accurate and superior and would be applied widely in the dam monitoring in the future.

关 键 词：变形监测 模糊逻辑 模糊神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP274[自动化与计算机技术—控制科学与工程]