Assessment Method of Water Quality of Monitoring Data Based on Support Vector Machine
基于支持向量机的水质监测数据处理

The assessment of water quality is a fusion of multi-source information,state evaluation and identification.This paper introduces a method to assess the lake water quality eutrophication based on support vector machine.Using the idea of decision binary tree,it constitutes a assessment model of water quality of monitoring data based on SVM.This paper uses an experiment on the monitoring data of Yangtse River port and gives a comparison and analysis with single factor assessment method and the single BP neural network.The experiment shows the good effect of such model and have potential application value.