摘要
针对影响大坝水平位移分析的众多因素相关性较高,且传统的回归方法对数据的处理难于获得令人满意的精度,采用基因表达式编程法分析了大坝水平位移。与传统的模型预测结果相比,基因表达式编程的预测精度更高,为大坝水平位移分析提供了一种新的方法。
Because of many factors affecting the dam horizontal displacement, there exists high correlation among them and the traditional regression method of data processing is difficult to achieve satisfactory accuracy. This paper analyzes horizontal displacement of dam by gene expression programming. Compared with the predictions results by conventional model, gene expression programming has higher prediction accuracy. It provides a new method for analysis of dam horizontal displacement.
出处
《水电能源科学》
北大核心
2010年第3期57-59,65,共4页
Water Resources and Power
基金
国家自然科学基金资助项目(50879024)
江苏省"333高层次人才培养工程"科研基金资助项目(2017-B08037)
关键词
基因表达式编程
大坝安全监控
水平位移
数据处理
函数挖掘
Gene Expression Programming
dam safety monitoring
horizontal displacement
data processing
function mining
