Neural model of osmotic dehydration kinetics of fruits cubes

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3192, Issue , 2004, Pages 312-320

  Baruch, Ieroham ^a   Genina Soto, Próspero ^a   Nenkova, Boyka ^b   Barrera Cortés, Josefina ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

^b BULGARIAN ACADEMY OF SCIENCES   (Bulgaria)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DEHYDRATION; FOOD PRESERVATION; FRUITS; OSMOSIS; STATISTICAL METHODS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION ALGORITHMS; LEARNING ALGORITHMS; MEAN SQUARE ERROR; RECURRENT NEURAL NETWORKS;

DEHYDRATION KINETICS; FRUIT CUBES; INPUT-OUTPUT PATTERN; OSMOTIC DEHYDRATION PROCESS; DYNAMIC BACKPROPAGATION; MEAN SQUARED ERROR; NEURAL MODELING; OPERATIONAL CONDITIONS; OSMOTIC DEHYDRATION; OSMOTIC SOLUTIONS; PROCESS PREDICTION; RECURRENT NEURAL NETWORK MODEL;

NEURAL NETWORKS; DEHYDRATION;

DEHYDRATION; FOOD STORAGE; FRUITS; NEURAL NETWORKS; OSMOSIS; STATISTICAL ANALYSIS;

EID: 22944472693     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30106-6_32     Document Type: Conference Paper

References (11)

1. Raoult-Wack, A.L.: Recent advances in the osmotic dehydration of foods. Trends in Food Science and Technology 5 (1994) 255-260.
2. Lenart, A., Flink, J.M.: Osmotic Concentration of Potatoes. II. Spatial Distribution of the Osmotic Effect. Journal of Food Technology 19 (1984) 65-89.
3. Azuara, E., Beristain, C.I., Gutiérrez, G.F.: A Method for Continuous Kinetic Evaluation of Osmotic Dehydration. Lebensmittel-Wissenschast & Technologie 31 (1998) 317-321.
4. Beristain, C.I., Azuara, E., García, H.S.: Development of A Mathematical Model to Predict Kinetics of Osmotic Dehydration. Journal of Food Science and Technology 29, no 4 (1992) 239-242.
5. Raoult-Wack, A.L., Petitdemange, F., Giroux, F., Guilbert, S, Rios, G., Lebert, A.: Simultaneous Water and Solute Transport in Shrinking Media. Part 2. A Compartmental Model for Dewatering and Impregnation Soaking Process, Drying Technology 9, no 3 (1991) 613-630.
6. Toupin, C.J., Marcotte, M., Le Maguer, M.: Osmotically-Induced Mass Transfer in Plant Storage Tissues, A Mathematical Model. Part I. Journal of Food Engineering, no 10 (1989) 13-38.
7. Bichop, C: Neural Networks and Their Applications. Review of Scientific Instruments 65, no 5 (1994) 1803-1832.
8. Baughman, D.R., Liu, Y.A.: Neural Networks in Bioprocessing and Chemical Engineering. Ed. Academic Press, New York (1995) 1-17.
9. Valdez-Castro, L., Baruch, I., Barrera-Cortés, J.: Neural Networks Applied to the Prediction of Fed-Batch Fermentation Kinetics of Bacillus Thuringiensis. Bioprocess and Biosystems Engineering 25 (2003) 229-233.
10. Genina-Soto, P., Barrera-Cortés, J., Gutiérrez- López, G., Nieto, E. A.: Temperature and Concentration Effects of Osmotic Media on OD Profiles of Sweet Potato Cubes. I. J. Drying Technology 19, no. 3 (2001) 547-558.
11. Baruch, I., Flores, J. M., Nava, F., Ramirez, I. R., Nenkova, B.: An Advanced Neural Network Topology and Learning, Applied for Identification and Control of a D.C. Motor. Proc. of the First International IEEE Symposium on Intelligent Systems, IS'02, Varna, Bulgaria, Vol. I (2002) 289-295.