Estimating Viscosity of Low Sugar Apple Marmalade Using Backpropagation Neural Network
Sevcan Unluturk,
Pinar Sirin,
Mehmet Unluturk
Abstract:In this paper, a backpropagation neural network (BPNN) model was developed for the prediction of viscosity values of apple marmalade using experimental data collected from several measurements. Stevioside or Sucralose sweetener was used instead of sugar (sucrose) in some of the formulations. In the BPNN architecture, the shear stress, and shear strain with mass concentrations of the Stevioside, Sucrolase, and Sucrose were utilized as input, whereas the viscosity value of apple marmalade was used as an output t… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citationsโcitations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.