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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Main Authors: Sanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee Auephanwiriyakul
格式: 雜誌
出版: 2018
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在線閱讀: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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機構: Chiang Mai University