Semi-supervised chemometric methodology for improved multivariate calibration of spectrometers.
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...
| Үндсэн зохиолч: | |
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| Бусад зохиолчид: | |
| Формат: | Final Year Project (FYP) |
| Хэл сонгох: | English |
| Хэвлэсэн: |
2010
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| Нөхцлүүд: | |
| Онлайн хандалт: | http://hdl.handle.net/10356/39522 |