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 …

In this study, three different apple cultivars were dried using five different drying methods
and moisture ratio (MR), moisture content (MC) and drying rate values were determined …

The thin-layer convective-infrared drying behavior of white mulberry was experimentally
studied at infrared power levels of 500, 1000 and 1500 W, drying air temperatures of 40, 55 …

This study presented both the empirical and artificial neural network (ANN) approaches to
estimate the moisture content of Mentha spicata. Two different types of drying methods (in …

In relation to the situation caused by the pandemic, which may also take place in the future,
there is a need to find effective solutions to improve the economic situation of the floristry …

Measurement of solute-transport parameters through soils for a wide range of solute-and
soil-types is time-consuming, laborious, expensive and practically impossible. So, indirect …

The aim of this study was to determine the usefulness of artificial neural networks (ANN) in
the process of forecasting the yield of hemp seeds (Cannabis sativa L.) of the Henola …

This paper presents the application of feed forward and cascade forward neural networks to
model the non-linear behavior of pistachio nut, squash and cantaloupe seeds during drying …

For years, sun and hot air drying have been considered as traditional drying methods.
Today, using microwave is one the newest methods of drying. Iran is one of the main …

In this study, the response surface methodology (RSM) was used to optimise osmo-
dehydration of pumpkin cubes. Effect of different parameters including osmotic solution …