Drying kinetics simulation by means of artificial neural networks

摘要: A starting point of both theoretical considerations and experimental investigations the drying process is its kinetics. The term “drying kinetics” includes changes mean moisture content material temperature in time. possibility identification on basis rate curve enables a determination transport mechanism material. knowledge curves (i.e. kinetics) for other significant parameters or phenomena which characterize Among others, by an interpretation curve, falling period, sorption desorption curves, diffusion coefficient thermal diffusivity can be distinguished. In this chapter, basic information about Artificial Neural Networks (ANNs) their applications introduced. special attention given to description dynamic processes ANN. kinetics agricultural products presented here. Multilayer Perceptron (MLP) Radial Basis Function (RBF) network types are proposed predicting during vibrofluidized bed. Capability prediction evaluated feed forward recurrent structures.