基于SEV/SEC-iPLS的近红外光谱波长优选方法
Ordnance Industry Automation(2021)
Abstract
为实现建模区间的波长优选,将iPLS法与验证标准差/校正标准偏差(standard error of verification/standard error of calibration,SEV/SEC)相结合,以喷气燃料为研究对象,对其初馏点进行定量分析.结果表明:iPLS法结合SEV/SEC的组合评价指标用所选光谱区间建立的校正模型性能得到较大改善,模型的决定系数R2、SEV分别为0.94和1.05,较全谱区模型分别提升55.70%和36.23%,较传统iPLS法分别提升44.44%和17.50%,并通过配对t检验法验证,证明了该波长优选方法的可行性与有效性.
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