为了克服多重相关性对模型的干扰,本文引入了能辨别系统信息与噪声的偏最小二乘回归,并提出了一种基于偏最小二乘回归原理的土石坝渗流监控模型。
To avoid multicollinearity's disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a novel seepage monitoring model is introduced.
为了克服多重相关性对模型的干扰,本文引入了能辨别系统信息与噪声的偏最小二乘回归,并提出了一种基于偏最小二乘回归原理的土石坝渗流监控模型。
To avoid multicollinearity's disturbance, partial least-squares regression which can identify system information and noise is introduced to model, and a novel seepage monitoring model is introduced.
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