Abstract
Genetic algorithm is used to perform variable selection to determine the ranges of wavelengths in NIR spectral data suitable to be used as predictors in multivariate calibration model via partial least squares. The NIR spectral data consists of three components of active substances, namely human serum albumin (HSA), γ-globulin and glucose. The wavelength selection is able to improve the calibration model by selecting the wavelengths that contains information or correlated with the concentration of substances, while others non-chosen wavelengths, which contribute no information or contain noises, are excluded from the calibration model.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 |
| Pages | 1178-1181 |
| Number of pages | 4 |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | International Conference of the IEEE Engineering in Medicine and Biology Society 2005 - Shanghai, China Duration: 1 Sept 2005 → 4 Sept 2005 Conference number: 27th https://ieeexplore.ieee.org/xpl/conhome/10755/proceeding (Proceedings) |
Publication series
| Name | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
|---|---|
| Volume | 7 VOLS |
| ISSN (Print) | 0589-1019 |
Conference
| Conference | International Conference of the IEEE Engineering in Medicine and Biology Society 2005 |
|---|---|
| Abbreviated title | EMBC 2005 |
| Country/Territory | China |
| City | Shanghai |
| Period | 1/09/05 → 4/09/05 |
| Internet address |
|