支持向量机回归方法在地表水水质评价中的应用

将支持向量机方法应用于地表水质评价问题中,建立了多指标水质综合评价的支持向量机回归模型.在地表水质评价标准的基础上采用内插法获得学习样本,经过训练,得到水质评价的分类区间;然后以实测资料对所建模型进行检验,研究结果表明,支持向量机回归模型性能良好、预测精度高、简便易行,是水质评价的一种有效方法,具有广阔的应用前景.

SVM Regression Method for the Surface Water Quality Assessment and Application

By using the principal of support vector machine,a support vector machine(SVM) regression model of multi index surface water synthesis assessment is presented.Based on the standard of surface water quality assessment,study samples which are obtained by using interpolation method are trained and tested,then gotten assessment block.The researching result reveals that SVM regression model presents excellent performance,high prediction accuracy and is easy to run.As a result,it is an effective way and has wide practicing prospect.