Intellectualization is an important direction of drying development and artificial intelligence
(AI) technologies have been widely used to solve problems of nonlinear function …

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 …

The main purpose of this study was to develop and apply an adaptive neuro-fuzzy inference
system (ANFIS) and Artificial Neural Networks (ANNs) model for predicting the drying …

In this study, different drying conditions were investigated on quality and thermodynamic
properties of almond kernel. Experiments were performed using a convection dryer with …

This article presents a comprehensive review of almost all existing applications of fuzzy logic
in drying technology to solve problems of nonlinear modeling, simulation, pattern …

Although very important for analysis of drying processes, physics-based models are limited
in terms of their prediction ability and in most cases are unsuitable for real-time process …

Least squares estimation is appealing in performance and robustness improvements of
adaptive control. A strict condition termed persistent excitation (PE) needs to be satisfied to …

In this study, a new methodology was applied to estimate the coal moisture content during
the drying process. Adaptive-network-based fuzzy inference system (ANFIS) was applied to …

Use of soft sensors for online particle size monitoring in a grinding process is a viable
alternative since physical sensors for the same are not available for many such processes …

An adaptive-network-based fuzzy inference system based on color image analysis was used
to estimate coffee bean moisture content during roasting in a spouted bed. The neuro-fuzzy …