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

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...

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Bibliographic Details
Main Authors: Sanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee Auephanwiriyakul
Format: Journal
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79951789242&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51187
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Institution: Chiang Mai University
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