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基于偏最小二乘法的泉流量预报模型 被引量:7

The Model of the Spring Flow Forecast Based on the Partial Least-squares Method
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摘要 偏最小二乘回归能较好地解决自变量之间的相关性问题,克服了变量多重相关性在系统建模中的不良作用.同时用这一方法建立的泉流量模型,可进行流量预报.且以黑龙洞泉为例,通过计算、拟合、分析,说明建立的泉流量模型具有较好拟合性和稳定性. Partial least squares regression method can resolve the problem of multicollinearity among variables, and overcome the bad effect of the multicollinearity among variablesin the system modeling. The model of the spring flow with partial least squares method is proposed in order to solve the prediction question about the spring flow, and the detail calculation steps are given. It is shown that the spring flow model founded is preferably fitting and stability for the case of the Black Dragon Cavity by calculating,fitting and analyzing.
出处 《华北水利水电学院学报》 2004年第2期7-9,共3页 North China Institute of Water Conservancy and Hydroelectric Power
基金 河南省2002年创新人才工程资助项目.
关键词 岩溶水 泉流量 偏最小二乘法 karst water spring flow partial least-squares method
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