Automated fitting process using robust reliable weighted average on near infrared spectral data analysis
With the complexity of Near Infrared (NIR) spectral data, the selection of the optimal number of Partial Least Squares (PLS) components in the fitted Partial Least Squares Regression (PLSR) model is very important. Selecting a small number of PLS components leads to under fitting, whereas selecting...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87995/1/ABSTRACT.pdf http://psasir.upm.edu.my/id/eprint/87995/ https://www.mdpi.com/2073-8994/12/12/2099 |
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