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Ensemble calibration for the spectral quantitative analysis of complex samples
writer:Xihui Bian*, Pengyao Diwu, Yirui Liu, Peng Liu, Qian Li, Xiaoyao Tan
keywords:Ensemble modeling, Multivariate calibration, Spectral analysis, Complex samples
source:期刊
specific source:Journal of Chemometrics, 2018, 32(11) e.2940
Issue time:2018年
Ensemble strategies have gained increasing attention in multivariate calibration for quantitative analysis of complex samples. The aim of ensemble calibration is to obtain a more accurate, stable and robust prediction by combining the predictions of multiple sub-models. The generation and calibration of the training subsets, as well as the integration of the sub-models are three keys to the success of ensemble calibration. Many training subset generating and sub-model integrating strategies have been developed to form numerous ensemble calibration methods for improving the performance of the basic calibration method. This contribution focuses on the recent ensemble strategies in relation to calibration, especially the ensemble modeling for quantitative analysis of complex samples. The limitations and perspectives of ensemble strategies are also discussed.