Moisture content prediction of dried longan aril from dielectric constant using multilayer perceptrons and support vector regression

• Main Authors: Amaroek S., Theera-Umpon N., Wantanajittikul K., Auephanwiriyakul S.
• Format: Article
• Language: English
• Published: 2014
• Online Access: http://www.scopus.com/inward/record.url?eid=2-s2.0-79951789242&partnerID=40&md5=b14bd2282427f5fa5bb36f466d9384a7; http://cmuir.cmu.ac.th/handle/6653943832/1479
• Institution: Chiang Mai University

Problem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector...