Adaptive Neural Network Based Fuzzy Inference System for the Determination of Performance in the Solar Tray Dryer

Basit Öğe Kaydı
dc.contributor.authorYıldız, Zehra
dc.contributor.authorGokayaz, Leyla
dc.contributor.authorKöse, Ercan
dc.contributor.authorMühürcü, Aydın
dc.date.accessioned2025-03-16T12:43:21Z
dc.date.available2025-03-16T12:43:21Z
dc.date.issued2021
dc.departmentTarsus Üniversitesi
dc.description.abstractThis study aims to apply the adaptive neural network based fuzzy inference system (ANFIS) were used to modeling the apple solar drying conditions in the solar tray dryer. Apple slices were dried by solar drying techniques as a solar tray dryer, exposure to direct sunlight and in the shade. Drying air temperature, the air humidity, apple slice load, apple slice thickness and solar drying time has been investigated with the prediction of the drying in the solar tray dryer on water loss, drying rate and shrinkage ratio. The model results clearly showed that the use of ANFIS led to more accurate results. The correlation coefficient (R2) values of the water loss, drying rate and shrinkage ratio were found as 0.9968, 0,9675 and 0,9918, the water loss, drying rate and shrinkage ratio respectively.
dc.identifier.endpage49
dc.identifier.issn2667-4890
dc.identifier.issue1
dc.identifier.startpage41
dc.identifier.urihttps://hdl.handle.net/20.500.13099/716
dc.identifier.volume5
dc.language.isoen
dc.publisherİlknur BAĞDATLI
dc.relation.ispartofEurasian Journal of Food Science and Technology
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250316
dc.subjectAnfis
dc.subjectDrying
dc.subjectSolar drying
dc.subjectSolar tray dryer
dc.titleAdaptive Neural Network Based Fuzzy Inference System for the Determination of Performance in the Solar Tray Dryer
dc.typeArticle

Dosyalar

Koleksiyon

Öksüz Yayınlar