Artificial Neural Network (ANN) of Simultaneous （人工神经网络(ANN)的同时）.pdf

International Journal of Chemical Engineering and Applications, Vol. 5, No. 6, December 2014 Artificial Neural Network (ANN) of Simultaneous Heat and Mass Transfer Model during Reconstitution of Gari Granules into Thick Paste S. S. Sobowale, S. O. Awonorin, T. A. Shittu, and E. S. A. Ajisegiri.  depends on factors such as modes of heat transfer and Abstract—Artificial neural network (ANN) based model of temperature gradient between the two bodies. The basic transient simultaneous heat and mass transfer was used for the modes of heat transfer are conduction, convection, prediction of some thermo-physical during reconstitution of evaporation and radiation with radiation being the least gari into thick paste. Temperature changes in the paste and efficient and slowest of all, since the emissivity value could moisture losses were recorded over a period of two hours while only be determined at relatively high temperature (above the granules are being reconstituted. Data on convective heat boiling temperature of water) [5], [6]. However, the and mass transfer coefficients were obtained during moisture transfer which is the difference in concentration of reconstitution of gari into paste. In developing the ANN model, several configurations were evaluated. The mean square error constituents throughout a solution ha