A comparison of principal component regression and artificial neural network in fruits quality prediction

• Main Authors: Kim, Seng Chia, Abd. Rahim, Herlina, Abd. Rahim, Ruzairi
• 格式: Book Section
• 出版: IEEE Explore 2011
• 主题: QA75 Electronic computers. Computer science
• 在线阅读: http://eprints.utm.my/id/eprint/24291/; http://dx.doi.org/10.1109/CSPA.2011.5759884

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...