DEVELOPMENT OF ANN MODEL FOR NONLINEAR DRYING PROCESS

This paper presents an application of artificial neural network (ANN) technique to develop a model representing the non-linear drying proces s. The air heat plant (AHP), an important component in drying process is fabricated and used for building the ANN model. An optimal feed for ward neural network topology is identified for the air heating system set-up. The training sets are obtained from experimental data. Back pr opogation algorithm with momentum factor is used for training. The res ults show that the back propogation ANN can learn the functional mappi ng between input and output. The advantages of ANN model developed for AHP is highlighted. The developed model can be used for control purpo ses.