Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …

Inspired by the functional behavior of the biological nervous system of the human brain, the
artificial neural network (ANN) has found many applications as a superior tool to model …

This paper is focused on the use of artificial neural networks to monitor a pharmaceutical
freeze-drying process. A detailed phenomenological model of the process is used to provide …

Non-linear systems, such as biological systems, can be simulated by artificial neural network
(ANN) techniques. This research aims to use ANN to simulate the accumulated aerial dry …

In this study, the advantages of integrated response surface methodology (RSM) and
genetic algorithm (GA) for optimizing artificial neural network (ANN) topology of convective …

In this paper, the drying of Siirt pistachios (SSPs) in a newly designed fixed bed dryer system
and the prediction of drying characteristics using artificial neural network (ANN) are …

Mass transfer in osmotic dehydration of fruits at atmospheric pressure has been modeled
either by a phenomenological approach using Crank's model (which is a Fick's law solution) …

Azuara and diffusion models were evaluated for describing the mass transfer kinetics of
apple (Red Gala) cylinders during microwave-osmotic dehydration under continuous-flow …

Microwave osmotic dehydration of mango (Mangifera indica) was carried out under
continuous spray mode (MWODS) with four osmotic solute mixtures (sucrose (S), sucrose in …

This paper discusses the opportunities for the use of artificial intelligence methods for the
modelling of drying processes. The main emphasis is given to the artificial neural network …