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| Titel: |
NEUROCOMPUTING APPROACHES TO MODELLING OF DRYING PROCESS DYNAMICS |
| Auteur: |
Kaminski, W. Tomczak, E. Strumill, P. |
| Verschenen in: |
Drying technology |
| Paginering: | Jaargang 16 (1998) nr. 6 pagina's 967-992 |
| Jaar: |
1998-07-01 |
| Inhoud: |
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 |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 120 van 180 gevonden artikelen
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