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

• المؤلفون الرئيسيون: Kim, Seng Chia, Abd. Rahim, Herlina, Abd. Rahim, Ruzairi
• التنسيق: Book Section
• منشور في: IEEE Explore 2011
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: 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...