【摘要】 针对地下水动态分类问题,采用投影寻踪聚类(PPC)模型,将多维的动态水位数据指标转换到低维子空间,并利用免疫进化算法(IEA)优化其投影方向,根据投影函数值的大小对地下水动态进行合理的分类。应用表明,该方法能利用一个综合反映多因素之间复杂关系的特征指标给出相应的分类结果,且根据计算结果还可以分析影响地下水分类的主要因素,为地下水动态分类提供了一种计算过程简单、直观的新方法。更多还原

【Abstract】 This paper is to classify the groundwater regime according to projection function value through turning multi-dimensional data indexes into low-dimensional space by using projection pursuit cluster (PPC) model, and meanwhile optimizing its projection direction by immune evolutionary algorithm (IEA). The result shows that the method can construct a characteristic index, and the main impact effects can be analyzed according to the result. The model is qualified with simplicity and can provide a new approach for groundwater regime classification.更多还原