Semi-supervised chemometric methodology for improved multivariate calibration of spectrometers.

• المؤلف الرئيسي: Chen, Zheng Yu.
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: Final Year Project
• اللغة: English
• منشور في: 2010
• الموضوعات: DRNTU::Science::Chemistry::Biochemistry::Spectroscopy
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/39522

In this work, a semi-supervised chemometric methodology is designed to improve the predicted accuracy for the multivariate calibration in spectrometers. The simulation is carried out on MATLAB platform. The available toolbox of partial least-squares regression (PLS), which is a very powerful algorit...