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  5. An improved stacked partial least squares regression algorithm for near-infrared spectroscopy quanti

An improved stacked partial least squares regression algorithm for near-infrared spectroscopy quanti

来源 :第26届中国过程控制会议 | 被引量 : 0次 | 上传用户：seraphim0113
【摘 要】
：
In this work,an improved stacked partial least square regression(VIP-SPLS)algorithm based on variable importance in the projection(VIP)is introduced for near-infrared spectroscopy quantitative analysi
【作 者】
：
张红光 卢建刚 
【出 处】
：
第26届中国过程控制会议
【发表日期】
：
2015年10期
【关键词】
：
Near infrared spectroscopy quantitative analysis VIP Stacked partial least squar 
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　　In this work,an improved stacked partial least square regression(VIP-SPLS)algorithm based on variable importance in the projection(VIP)is introduced for near-infrared spectroscopy quantitative analysis.In the proposed scheme,the VIP score of each spectral variable is first calculated based on the partial least squares(PLS)regression model.
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