Moisture content and water activity prediction of semi-finished cassava crackers from drying process with artificial neural network

Journal of Food Engineering

Volumn 84, Issue 1, 2008, Pages 65-74

  Lertworasirikul, S ^a   Tipsuwan, Y ^a  

^a KASETSART UNIVERSITY   (Thailand)

Author keywords

Artificial neural network; Cassava cracker; Drying process; Modeling

Indexed keywords

DRYING; MEAN SQUARE ERROR; MOISTURE; NEURONS; REGRESSION ANALYSIS; TRANSFER FUNCTIONS; WATER ANALYSIS;

CASSAVA CRACKERS; GENERALIZATION; HIDDEN NODES; SIGMOID TRANSFER;

NEURAL NETWORKS;

MANIHOT ESCULENTA;

EID: 34547566069     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2007.04.019     Document Type: Article

References (16)

1. Bardot I., Martin N., Trystram G., Hossenlopp J., Rogeaux M., and Bochereau L. A new approach for the formulation of beverages. Part II; Interactive automatic method. Lebensmittel-Wissenschaft und-Technologie 27 6 (1994) 513-521
2. Dornier M., Decloux M., Trystram G., and Lebert A. Dynamic modeling of crossflow microfiltration using neural networks. Journal of Membrane Science 98 3 (1995) 263-273
3. Farkas I., Reményi P., and Biró A. A neural network topology for modelling grain drying. Computers and Electronics 26 2 (2000) 147-158
4. Farkas I., Reményi P., and Biró A. Modelling aspects of grain drying with a neural network. Computers and Electronics in Agriculture 29 1-2 (2000) 99-113
5. Gupta M.M., Jin L., and Homma N. Static and dynamic neural networks: from fundamentals to advanced theory (2003), IEEE Press, New Jersey
6. Haykin S. Neural networks: a comprehensive foundation. 2nd ed. (1998), Prentice Hall, New Jersey
7. Hernández-Pérez J.A., Garci{dotless}́a-Alvarado M.A., Trystram G., and Heyd B. Neural networks for the heat and mass transfer prediction during drying of cassava and mango. Innovative Food Science & Emerging Technologies 5 1 (2004) 57-64
8. Huang B., and Mujumdar A.S. Use of neural network to predict industrial dryer performance. Drying Technology 11 3 (1993) 525-541
9. Izadifar M., and Jahromi M.Z. Application of genetic algorithm for optimization of vegetable oil hydrogenation process. Journal of Food Engineering 78 1 (2007) 1-8
10. Jindal V.K., and Chauhan V. Neural networks approach to modeling food processing operations. In: Irudayaraj J. (Ed). Food processing operations modeling: design and analysis (2001), Marcel Dekker, New York 305-342
11. Karathanos V.T., and Belessiotis V.G. Sun and artificial air drying kinetics of some agriculture products. Journal of Food Engineering 31 1 (1997) 35-46
12. Lakleang, S. (1991). Quality and process improvements of cassava cracker. M.S. thesis, Department of Product Development, Faculty of Agro-Industry, Kasetsart University, Bangkok, Thailand.
13. Smith M. Neural networks for statistical modeling. 1st ed. (1996), Itp New Media
14. Teissier P., Perret B., Latrill E., Barillere J.M., and Corrieu G. Hybrid recurrent neural network model for yeast production monitoring and control in a wine base medium. Journal of Biotechnology 55 2 (1997) 157-169
15. Trelea I.C., Courtois F., and Trystram G. Dynamic models for drying and wet-milling quality degradation of corn using neural networks. Drying Technology 15 3-4 (1997) 1095-1102
16. Trystram G., and Courtois F. Food process modeling and simulation. In: Mittal G.S. (Ed). Computerized control systems in the food industry (1997), Marcel Dekker, New York 55-85