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Performance evaluation of variable selection methods coupled with partial least squares regression to determine the target component in solid samples
Journal of Near Infrared Spectroscopy ( IF 1.6 ) Pub Date : 2022-05-12 , DOI: 10.1177/09670335221097236
Na Zhao 1, 2 , Zhisheng Wu 1 , Chunying Wu 1 , Shuyu Wang 1 , Xueyan Zhan 1
Affiliation  

Variable selection can improve the robustness and prediction accuracy of partial least squares (PLS) regression models and decrease the calculation time by selecting the optimal subset of variables...

中文翻译:

变量选择方法的性能评估与偏最小二乘回归相结合以确定固体样品中的目标成分

变量选择可以提高偏最小二乘(PLS)回归模型的鲁棒性和预测准确性,并通过选择变量的最优子集来减少计算时间...
更新日期:2022-05-12
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