CWT-Support Vector Regression Model and Its application

摘要：

Near-infrared spectroscopy (NIR) analytical technique is simple,fast and low cost,making neither pollution nor damage to the samples,and can determine many components simultaneously.Continuous wavelet transform (CWT),as an application direction of the wavelet analysis,is keener to the signal slight change.Support vector machine (SVM) is based on the principle of structural risk minimization,which makes SVM has better generalization ability than other traditional learning machines that are based on the learning principle of empirical risk minimization.In this paper,we use CWT- SVM model to predict meats component.Compared with Partial Least Squares (PLS) and SVR,we get more satisfactory result.

关键词： continuous wave transform structural risk minimization support vector regression.

作者: Jiefang Liu Pumei Gao Baolin Ma

作者单位: Department of Mathematics,Henan Institute of Science and Technology,Xinxiang 453003,China Xinke college,Henan Institute of Science and Technology,Xinxiang 453003,China

会议类型: 国际会议

会议名称: 2010 International Conference of Environment Materials and Environment Management(2010年环境材料与环境管理国际学术会议 EMEM 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 207-210

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）