A systematic calibration transfer and quantification method based on principal components extreme learning machine for near-infrared spectroscopy

The comprehensive results guarantee that PCELM-ELM is an accurate and practical method to transfer the NIR spectra of the slave instrument toward a well-established and maintained calibration model without costly and time-consuming recalibration. Results across diverse datasets confirm PCELM-ELM is a promising calibration transfer and quantitative method in NIR application.