Prediction Model of Alga's Growth Based on Support Vector Regression

被引：4

作者：

Yan Qisheng ^{[1
]}

Wang Guohua ^{[1
]}

机构：

[1] E China Inst Technol, Sch Math & Informat Sci, Fuzhou 344000, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY, VOL II, PROCEEDINGS | 2009年

关键词：

support vector regression; prediction model; alga's growth; neural network; KERNELS;

D O I：

10.1109/ESIAT.2009.170

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Support vector machines are a kind of novel machine learning methods, which have become the hotspot of machine learning because of their excellent learning performance. A alga's growth prediction model is established by using support vector regression (SVR) method. The method is illustrated through examples, the results obtained by using SVR method are compared with that from neural network method and the results show that the prediction model based on support vector regression is more accurate and simple than neural network method.

引用

页码：673 / 675

页数：3