A variable differential consensus method for improving the quantitative near-infrared spectroscopic

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一致方法为改进量的模型的可靠性在介绍了有希望的工具在红外线附近(NIR ) 分光镜的分析。为在 NIR 系列的 multivariate 刻度改进一致方法的表演的策略被建议。在途径,非在同一直线上的变量的一个子集被 uninformative 变量消除(UVE ) 在减少的系列为每个变量用连续设计算法(矿泉) 产生。然后,亚模型用可变子集被造,刻度子集由蒙特卡罗(MC ) 重新采样,和亚模型决定确认作为一个成员模型被选择在十字生产最小的错误。与 MC 重新采样的重复,一系列成员模型被造,一个一致模型被平均
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