Combination of wavelet multiscale analysis and support vector machines for determination of multicomponent

摘要：

This paper suggests a novel method named DF-LSSVM based on least squares support vector machines (LS-SVM) regression combine with multiscale wavelet transforms and data fusion (DF) to enhance the ability to extract characteristic information and improve the quality of the regression. Experimental results showed the DF-LS-SVM method was successful for simultaneous multicomponent determination even where there was severe overlap of spectra. The DF-LSSVM method is a hybrid technique that combines the best properties of the two techniques and makes this method attractive and promising.

关键词： multiscale wavelet transform data fusion support vector machines determination of multicomponent

作者: Shouxin Ren Ling Gao

作者单位: Department of Chemistry, Inner Mongolia University, Huhhot, 010021, Inner Mongolia, P.R China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 974-977

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）