The present study involved integration of artificial neural network (ANN) with genetic
algorithm (GA) for predicting the optimized process parameters required for fluidized bed …

In this research, green bell pepper was dried in a pilot plant fluidized bed dryer equipped
with a heat pump humidifier using three temperatures of 40, 50 and 60C and two airflow …

In this study, drying kinetics of figs (Ficus carica L) under open sun drying (OSD) was
compared with using Artificial Neural Network (ANN) model and mathematical models …

In this study, drying characteristics of canola seeds were determined using heated ambient
air at 40, 50 and 60° C, relative humidity of 20, 40 and 60% and constant velocity of 3 m/s …

The aim of the study is to fit models for predicting surfaces using the response surface
methodology and the artificial neural network to optimize for obtaining the maximum …

This article presents static and recurrent artificial neural networks (ANNs) to predict the
drying kinetics of carrot cubes during fluidized bed drying. Experiments were performed on …

In this work, the effect of fluidized bed dryer under different fluidization regimes and
temperature on drying time and quality properties of rice has been investigated. To predict …

In order to improve the drying characteristics and to optimization of drying conditions,
machine learning (ML) and response surface methodology (RSM) were applied in air …

This study aims at investigating the thin‐layer drying behavior of turnip slices in a multistage
semi‐industrial continuous band dryer. Turnip slices with the thickness of 4 mm were used …

In this study, the influence of drying temperature (40, 50, 60C) and airflow velocity (2 and 3
m/s) on drying onion was evaluated by a custom designed fluidized bed dryer equipped with …