DEVELOPMENT OF ANN MODEL FOR NON-LINEAR DRYING PROCESS

1 November 1997

journal article
research article
Published by Taylor & Francis in Drying Technology

Vol. 15 (10) , 2527-2540
https://doi.org/10.1080/07373939708917374

Abstract

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

Keywords

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