Water Quality Prediction Based on Grey-support Vector Regression

摘要：

Water quality prediction has a great significance to evalute the quality development trend of water and make the planning of water processing．In the study，a novel hybrid method of grey model and support vector regression is proposed to improve the prediction accuracy of sypport vector regression．COD is the important composition in the polluting water．Thus．COD is used as evaluation index of polluting water in the paper．The quality prediction values of input and output water of BP nernal network and the hybrid method of grey model and support vector regression are eomputated respectively．It is indicated that the water quality prediction by using the hybrid method of grey model and support vector regression is superior to BP nerual network．

关键词： grey theory support vector regression prediction technique water quality

作者: Du Jing Tao tao

作者单位: School of Environmental Science and Engineering Huazhong University of Science and Technology Wuhan School of Environmental Science and Engineering Huazhong University of Science and Technology Wuhan

会议类型: 国际会议

会议名称: 2011 International Conference on Manufacturing and Industrial Engineering(ICMIE 2011)(2011年制造及工业工程国际会议)

会议地点: 海口

会议语种:英文

页码: 212-215

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）