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Modelling of mass transfer kinetic in osmotic dehydration of kiwifruit

dc.contributor.authorJabrayili, Sharokh
dc.contributor.authorFarzaneh, Vahid
dc.contributor.authorZare, Zahra
dc.contributor.authorBakhshabadi, Hamid
dc.contributor.authorBabazadeh, Zahra
dc.contributor.authorMokhtarian, Mohsen
dc.contributor.authorCarvalho, Isabel Saraiva de
dc.date.accessioned2017-04-07T15:56:48Z
dc.date.available2017-04-07T15:56:48Z
dc.date.issued2016-04
dc.description.abstractOsmotic dehydration characteristics of kiwifruit were predicted by different activation functions of an artificial neural network. Osmotic solution concentration (y(1)), osmotic solution temperature (y(2)), and immersion time (y(3)) were considered as the input parameters and solid gain value (x(1)) and water loss value (x(2)) were selected as the outlet parameters of the network. The result showed that logarithm sigmoid activation function has greater performance than tangent hyperbolic activation function for the prediction of osmotic dehydration parameters of kiwifruit. The minimum mean relative error for the solid gain and water loss parameters with one hidden layer and 19 nods were 0.00574 and 0.0062% for logarithm sigmoid activation function, respectively, which introduced logarithm sigmoid function as a more appropriate tool in the prediction of the osmotic dehydration of kiwifruit slices. As a result, it is concluded that this network is capable in the prediction of solid gain and water loss parameters (responses) with the correlation coefficient values of 0.986 and 0.989, respectively.
dc.identifier.doi10.1515/intag-2015-0091
dc.identifier.issn0236-8722
dc.identifier.otherAUT: ICA01121;
dc.identifier.urihttp://hdl.handle.net/10400.1/9528
dc.language.isoeng
dc.peerreviewedyes
dc.relation.isbasedonWOS:000376435300006
dc.titleModelling of mass transfer kinetic in osmotic dehydration of kiwifruit
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage191
oaire.citation.issue2
oaire.citation.startPage185
oaire.citation.titleInternational Agrophysics
oaire.citation.volume30
person.familyNameFarzaneh
person.familyNameSaraiva de Carvalho
person.givenNameVahid
person.givenNameIsabel Maria Marques
person.identifier.ciencia-id1C1E-A777-D6AC
person.identifier.ciencia-id591A-3777-B036
person.identifier.orcid0000-0002-0536-9291
person.identifier.orcid0000-0001-8057-3404
person.identifier.scopus-author-id35995183800
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublication61a70e8a-ec7a-4071-8365-da3cab860afd
relation.isAuthorOfPublicationaf26e659-578b-4e5f-a649-384cd5e4f8e3
relation.isAuthorOfPublication.latestForDiscoveryaf26e659-578b-4e5f-a649-384cd5e4f8e3

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