ISSN 1000-3665 CN 11-2202/P

    基于支持向量机的淮南市浅层地下水水质评价

    Evaluation of shallow groundwater quality in Huainan based on support vector machine

    • 摘要: 文章依据决策二叉树多分类的思想,构建了基于支持向量机的水环境质量评价模型。然后以淮南市75个水质监测点数据为例进行评价分析,并与模糊综合评判法进行了比较,结果基本一致。该模型所需要样本数量少、建模方便、通用性强,具有很好的实用价值。

       

      Abstract: Groundwater quality evaluation is a problem with multi-factor classification and discrimination.This paper proposed a method of support vector machine used in water quality evaluation.This method is based on an idea of decision two-prong tree.The model of water environment quality evaluation based on support vector machine is established.The evaluation model is used to evaluate the shallow groundwater quality in Huainan with 75 water samples,and is compared with the fuzzy comprehensive evaluation method.The results are essentially in agreement with the fuzzy comprehensive evaluation method.The model is of lots of virtues such as less samples demanded,modeling convenience and universality as well as good practical value.

       

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