Parameters of the dynamic statistical model are the time-varying parameters, variation of parameter reflects the variable trend of seepage.
动态模型的统计参数是随时间变化的时变参数，参数的变化反映了大坝的渗流变化趋势。
Taking a case study as an example, a statistical model is set up on the basis of detailed investigation of seepage around the dam site.
本文以水东水电站为例，在分析了坝址渗流量基本特征的基础上，建立了统计模型。
After analyzing factors of seepage flow quantity, the ordinary statistical model is established by selecting factors reasonably.
通过对渗流量影响因子的分析研究，合理选择因子，建立了大坝渗流量的常规统计模型。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
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