摘要
针对大坝这一复杂的巨系统,为尽可能利用观测量的有用信息,引入了大坝非线性组合分析模型,并基于小波理论及人工神经网络原理构建了小波网络的大坝非线性组合预测模型。以龙潭混凝土大坝为例进行拟合和预测,计算结果与实测值吻合良好,表明本文方法可行、有效。
Aiming at the complex huge system of dam,nonlinear combined model of the dam based on wavelet network is introduced for taking advantage of useful information on the observation values.The nonlinear combined prediction model of dam based on wavelet network is established by using wavelet theory and artificial neural network.Taking the fitting and prediction of Longtan concrete dam for an example,the calculation results are in accord with the measured values.Thus,it shows that the proposed method is feasible and effective.
出处
《水电能源科学》
北大核心
2010年第11期75-77,共3页
Water Resources and Power
基金
国家自然科学基金资助项目(51079046
50909041
50809025
50879024)
国家科技支撑计划基金资助项目(2008BAB29B03
2008BAB29B06)
中国水电工程顾问集团公司科技基金资助项目(CHC-KJ-2007-02)
江苏省"333高层次人才培养工程"科研基金资助项目(2017-B08037)
高等学校博士学科点专项科研基金资助项目(20070294023)
关键词
大坝
安全监测
非线性组合模型
小波网络预测模型
dam
safety monitoring
nonlinearly combined model
wavelet network prediction model