An integrated neural model for drying and thermal degradation of selected products

Drying Technology

Volumn 17, Issue 7-8, 1999, Pages 1291-1301

  Kaminski, W ^a   Tomczak, E ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Agricultural products; Artificial neural network; Degradation kinetics; Drying kinetics; Modelling

Indexed keywords

DEGRADATION; DRYING; MOISTURE; MULTILAYER NEURAL NETWORKS; PYROLYSIS; TEMPERATURE; VITAMINS;

GREEN PEAS; SLICED POTATOES; THERMAL DEGRADATION; VITAMIN C;

MATHEMATICAL MODELS;

DRYING; FOOD; KINETICS; NEURAL NETWORK;

EID: 0033491449     PISSN: 07373937     EISSN: None     Source Type: Journal    
DOI: 10.1080/07373939908917615     Document Type: Conference Paper

References (9)

1. Hagen, M.T., and Menhaj, M.B., 1994, Training Feedforward Networks with Marquardt Algorithm, IEEE Trans. on Neural Networks, vol.5, 6, pp. 989-993.
2. th International Drying Symposium (IDS'96), C. Strumillo and Z. Pakowski (ed). Krakow, Poland, pp. 323-330.
3. Huang, B., and Mujumdar, A.S., 1993, Use of Neural Network to Predict Industrial Dryer Performance, Drying Technology, 11 (3), pp. 525-541.
4. th International Drying Symposium (IDS'96), C. Strumillo and Z. Pakowski (ed). Kraków, Poland, pp.1393-1400.
5. Jinescu, G., and Lavric, V., 1995, The Artificial Neural Networks and the Drying Process Modeling, Drying Technology, 13 (5-7), pp. 1579-1586.
6. th International Drying Symposium (IDS'96), C. Strumillo and Z. Pakowski (ed), Kraków, Poland, pp. 137-144.
7. Kaminski, W., Strumillo, P., and Tomczak, E., 1996b, Genetic Algorithms and Artificial Neural Networks for Description of Thermal Deterioration Processes, Drying Technology, 14 (9), pp. 2117-2134.
8. Kaminski, W., Strumillo, P., Tomczak, E., and Zbicinski, I., 1996c, Modelling of Thermal Degradation Process Dynamics of Bioproducts Using Artificial Neural Networks, Journal of Systems Engineering, pp. 159-165.
9. Powell, M.J.D., 1987, Radial Basis Functions for Multivariable Interpolation: A Review, in Algorithms for Approximation of Functions and Data, J. C. Mason, M.G. Cox (ed), Oxford University Press, pp. 143-167.