Please use this identifier to cite or link to this item:
|Title:||An artificial neural network model for prediction of drying rates|
|Authors:||Islam, R. |
|Citation:||Islam, R., Sablani, S.S., Mujumdar, A.S. (2003-10). An artificial neural network model for prediction of drying rates. Drying Technology 21 (9) : 1867-1884. ScholarBank@NUS Repository. https://doi.org/10.1081/DRT-120025512|
|Abstract:||Drying rate data were generated for training of an ANN model using a liquid diffusion model for potato slices of different thicknesses using air at different velocities, humidities and temperatures. Moisture content and temperature dependence of the liquid diffusivity as well as the heat of wetting for bound moisture were included in the diffusion model making it a highly nonlinear system. An ANN model was developed for rapid prediction of the drying rates using the Page equation fitted to the drying rate curves. The ANN model is verified to provide accurate interpolation of the drying rates and times within the ranges of parameters investigated.|
|Source Title:||Drying Technology|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 21, 2019
WEB OF SCIENCETM
checked on Feb 13, 2019
checked on Oct 27, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.