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Details for article 120 of 180 found articles
| Title: |
NEUROCOMPUTING APPROACHES TO MODELLING OF DRYING PROCESS DYNAMICS |
| Author: |
Kaminski, W. Tomczak, E. Strumill, P. |
| Appeared in: |
Drying technology |
| Paging: | Volume 16 (1998) nr. 6 pages 967-992 |
| Year: |
1998-07-01 |
| Contents: |
The application of artificial neural networks to mathematical modelling of drying kinetics, degradation kinetics and smoothing of experimental data is discussed in the paper. A theoretical foundation of drying process description by means of artificial neural networks is presented. Two network types are proposed for drying process modelling, namely the multilayer perceptron network and the radial basis functions network, These were validated experimentally for fresh green peas and diced potatoes which represent diverse food products. Network training procedures based on experimental data are explained. Additionally, the proposed neural network modelling approach is tested on drying experiments of silica gel saturated with ascorbic acid solution |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 120 of 180 found articles
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