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我们首次对水文地质勘察的样本数据采用模式识别的主成分法(PCA)进行判别,由此可以把富水区和贫水区进行明确的分类,结果与实际情况完全一致,初步工作表明,模式识别能够很方便地用来寻找新的水源。
For the first time, the principal component method (PCA) of pattern recognition is used to distinguish the sample data of hydrogeological survey from that of the water-rich area and the water-poor area. The results are in good agreement with the actual situation. Preliminary work shows that model Identification can easily be used to find new sources of water.