2021
DOI: 10.15255/kui.2020.079
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Artificial Intelligence and Mathematical Modelling of the Drying Kinetics of Pre-treated Whole Apricots

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Cited by 15 publications
(20 citation statements)
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References 24 publications
(36 reference statements)
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“…Generally, a model having R 2 value that is close to unity and RMSE value that is also close to zero is considered accurate 43 . Bousselma et al 26 derived R 2 of 0.9995 in modeling the drying kinetics of pre-treated apricot with ANFIS. This result is important for process control during production.…”
Section: Resultsmentioning
confidence: 99%
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“…Generally, a model having R 2 value that is close to unity and RMSE value that is also close to zero is considered accurate 43 . Bousselma et al 26 derived R 2 of 0.9995 in modeling the drying kinetics of pre-treated apricot with ANFIS. This result is important for process control during production.…”
Section: Resultsmentioning
confidence: 99%
“…It was therefore calculated first using Eq. ( 1 ) as employed by Bousselma et al 26 . where M c is the moisture content (d.b), W w is the sample wet weight (g), and D w is the samples dry weight (g).…”
Section: Methodsmentioning
confidence: 99%
“…It should be noted that the present work is the continuation of a previous work already published in 2021. 1 The power was varied because the temperature is not exploitable with the microwave (especially in a domestic microwave as used in this work). In addition, the microwave technology is a rapid and efficient technique for drying fruits and vegetables, in which electromagnetic radiation plays an important role in heating the inside and outside parts of the considered products.…”
Section: Preparation Of Apricot Extractsmentioning
confidence: 99%
“…In addition, the drying time was set according to the time prediction model obtained by artificial neural network (ANN) (200 W, 400 W, and 800 W for 540, 440, and 320 s, respectively), according to a previous study. 1 For this purpose, microwave power (W), total apricot weight (g), moisture content (%), dry matter content (%), and moisture ratio (MR) were calculated and fed into the ANN model to predict the drying time. The products made from apricots (Prunus armeniaca L.) treated with sucrose, NaCl, and sodium bisulphite dried by microwave at different powers (200, 400, and 800 W), and apricot dough dried by electronic oven at 60 °C are presented in Table 1 and Fig.…”
Section: Preparation Of Apricot Extractsmentioning
confidence: 99%
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