Neural Network Modeling of a Drying Process in Radio Frequency Field

In this study, a neural network model was developed and tested to predict the characteristics of a possible industrial wood processing based on electromagnetic technologies. The application presented in this paper is a drying process for a half-finished oak blanks exposed in a radiofrequency electromagnetic field. To develop the model of this process, MATLAB's Neural network toolbox was used. The drying process was simulated with the help of FEM-BEM.3D-RFmove _term_masa software and the simulation results were used then for the training of the proposed neural network. The trained neural network is effective to provide the process characteristics with good accuracy.