Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

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 …

Bread is a basic dietary item dating back to the Neolithic era, which is prepared by baking
that is carried out in oven. Control of the production and distribution of bread has been used …

In this study, a comparative approach was made between artificial neural network (ANN)
and response surface methodology (RSM) to predict the mass transfer parameters of …

In this study, the effects of feed flow rate, inlet-air temperature, and atomizer speed, in an
orange juice semi-industrial spray dryer, were studied on seven performance indices …

Response surface methodology (RSM) is a frequently used method for empirical modeling
and prediction in the processing of biological media. The artificial neural network (ANN) has …

This paper presents a neural network model to predict the effects of operational parameters
on the organic and inorganic sulfur removal from coal by sodium butoxide. The coal particle …

In the last year, interest in using Artificial Neural networks as a modeling tool in food
technology is increasing because they have found extensive utilization in solving many …

Paenibacillus polymyxa ATCC 21830 was used for the production of curdlan gum for first
time. A Box–Behnken experimental design was applied to optimize six variables of batch …

Bread is one of the most widely consumed foods in all regions of the world. Wheat flour
being its principal ingredient is a cereal crop low in protein. The protein content of a whole …