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Volume 16 (2020)
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Volume 12 (2016)
Volume 11 (2015)
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Author = علیرضا یوسفی
Number of Articles: 4
Estimation of papaw (Carica papaw L.) moisture content using adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm-artificial neural network (GA-ANN)
Volume 12, Issue 6 , January and February 2017, , Pages 767-779
Abstract
Adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm-artificial neural network (GA-ANN) were used for modeling of the hot-air drying kinetics of papaw slices. The ANFIS and GA-ANN were fed with 3 inputs of drying time (0-320 min), drying temperature (40, 50 and 60 °C) and slice thickness ... Read MorePrediction of Papaya fruit moisture content using hybrid GMDH - neural network modeling during thin layer drying process
Volume 11, Issue 6 , January and February 2016, , Pages 747-757
Abstract
In this work, a hybrid GMDH–neural network model was developed in order to predict the moisture content of papaya slices during hot air drying in a cabinet dryer. For this purpose, parameters including drying time, slices thickness and drying temperature were considered as the inputs and the amount ... Read MoreThe Kinetics of Forced Convective Air-drying of Papaya (Carica papaya L.) Slices Pretreated in Osmotic Solution
Volume 9, Issue 3 , October 2013
Abstract
In this study, mathematical modeling of hot air-drying of thin-layer papaya (Carica papaya L.) slices with 5±1 mm thickness pretreated in osmotic solution (50% sucrose) was investigated. Thin-layer drying was conducted under three different drying temperatures of 40, 50 and 60 °C at a constant ... Read MoreComparative Investigation of Mass Transfer Process Based on Finite Difference Numerical Method and Experimental Results for Drying of Papaya Fruit
Volume 8, Issue 3 , October 2012