A comparison of principal component regression and artificial neural network in fruits quality prediction
Generally, non-linear predictive models should be superior to linear predictive models. The objective of this study is to compare the performance of soluble solid content (SSC) prediction via Artificial Neural Network with Principal Components (PCs-ANN) and Principal Component Regression (PCR) in Vi...
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| Main Authors: | , , |
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| Format: | Book Section |
| Published: |
IEEE Explore
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/24291/ http://dx.doi.org/10.1109/CSPA.2011.5759884 |
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