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

Abstract

This 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.