摘要
在介绍支持向量机(SVM)原理的基础上,设计采用多层次分类器改进支持向量机的分类算法,并利用该方法评价磐石市的地下水水质,同时与模糊综合评判、灰色聚类和神经网络评价结果对比。结果表明,该方法可以用于水资源学科的分类评价计算。
Based on the principle of support vector machine （SVM）, an improved SVM method combined with a multiple classifier was developed. The improved SVM method was applied to water quality assessment in Panshi City and compared with the results of the neural network method, fuzzy mathematic method, and grey clustering method. The results show that the method is reliable in the classification and evaluation of water resources.
出处
《水资源保护》
CAS
2009年第2期30-32,共3页
Water Resources Protection
关键词
支持向量机
水质评价
多层次分类器
support vector machine
water quality assessment
multiple classifier
