Modelling of thin-layer drying using neural network

This paper deals with a neural network application concerning to an agricul tural fixed bed driers. Aim of the study is to set up a relationship betwee n material moisture distribution and physical parameters of drying air, suc h as temperature and humidity. Input data was randomly changed, meanwhile o utput was generated by O'Callaghan's model based on the input. Number of la yers in the fixed bed drier for the neural network was also determined usin g O'Callaghan's model. Copyright (C) 1998 IFAC.