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

American Journal of Applied Sciences

Volumn 7, Issue 10, 2010, Pages 1387-1392

  Amaroek, Sanong ^a   Theera Umpon, Nipon ^a   Wantanajittikul, Kittichai ^a   Auephanwiriyakul, Sansanee ^a  

^a CHIANG MAI UNIVERSITY   (Thailand)

Author keywords

Artificial neural network; Bulk density; Cross validation; Dielectric constant; Dimocarpus longan; Dried longan aril; Linear regression; Moisture content; Multilayer erceptrons; Polynomial regression; Regression models; Support vector regression

Indexed keywords

EID: 79951789242     PISSN: 15469239     EISSN: 15543641     Source Type: Journal    
DOI: 10.3844/ajassp.2010.1387.1392     Document Type: Article

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