Thermal Food Processing

130 Thermal Food Processing: New Technologies and Quality Issues
7. MA Hussain, M Shafiur-Rahman, CW Ng. Prediction of pores formation (porosity)
in foods during drying: generic models by the use of hybrid neural network.
Journal of Food Engineering 51: 239–248, 2002.
8. CR Chen, HS Ramaswamy, I Alli. Prediction of quality changes during osmoconvective
drying of blue berries using neural network models for process optimization.
Drying Technology 19: 507–523, 2001.
9. S Sreekanth, HS Ramaswamy, S Sablani. Prediction of psychrometric parameters
using neural networks. Drying Technology 16: 825–837, 1998.
10. W Kaminski, P Strumillo, E Tomczak. Genetic algorithms and artificial neural networks
for description of thermal processes. Drying Technology 14: 2117–2133, 1996.
11. W Kaminski, J Stawczyk, E Tomczak. Presentation of drying kinetics in a fluidized
bed by means of radial basis functions. Drying Technology 15: 1753–1762, 1997.
12. W Kaminski, P Strumillo, E Tomczak. Neuro-computing approaches to modeling
of drying process dynamics. Drying Technology 16: 967–992, 1998.
13. A Kosola, P Linko. Neural control of fed-batch baker’s yeast fermentation. Development
of Food Science 36: 321–328, 1994.
14. H Honda, T Hanai, A Katayama, H Tohyama, T Kobayashi. Temperature control
of Ginjo sake mashing process by automatic fuzzy modeling using fuzzy neural
networks. Journal of Fermentation and Bioengineering (Japan) 85: 107–112,
1998.
15. O Popescu, DC Popescu, J Wilder, MV Karwe. A new approach to modeling and
control of a food extrusion process using artificial neural network and an expert
system. Journal of Food Process Engineering 24: 17–26, 1998.
16. T Eerikainen, YH Zhu, P Linko. Neural networks in extrusion process identification
and control. Food Control 5: 111–119, 1994.
17. G Ganjyal, M Hanna. A review on residence time distribution (RTD) in food
extruders and study on the potential of neural networks in RTD modeling. Journal
of Food Science 67: 1996–2002, 2002.
18. GS Mittal, JX Zhang. Prediction of freezing time for food products using a neural
network. Food Research International 33: 557–556, 2000.
19. Q Fang, G Bilby, E Haque, MA Hanna, CK Spillman. Neural network modeling
of physical properties of ground wheat. Cereal Chemistry 75: 251–253, 1998.
20. SS Sablani, OD Baik, M Marcotte. Neural network prediction of thermal conductivity
of bakery products. Journal of Food Engineering 52: 299–304, 2002.
21. T Morimoto, JDe Baerdemaeker, Y Hashimoto. An intelligent approach for optimal
control of fruit storage process using neural networks and genetic algorithms.
Computers and Electronics in Agriculture 18: 205–224, 1997.
22. T Moritmoto, W Purwanto, J Suzuki, Y Hashimoto. Optimization of heat treatment
for fruit during storage using neural networks and genetic algorithms. Computers
and Electronics in Agriculture 19: 87–101, 1997.
23. S Sreekanth, CR Chen, SS Sablani, HS Ramaswamy, SO Prasher. Neural network
assisted experimental designs for food research. Agricultural Sciences, Journal for
Scientific Research, SQU (Oman) 5: 97–106, 2000.
24. SS Sablani, HS Ramaswamy, SO Prasher. Neural network applications in thermal
processing optimization. Journal of Food Processing and Preservation 19:
283–301, 1995.
25. SS Sablani, HS Ramaswamy, S Sreekanth, SO Prasher. Neural network modeling
of heat transfer to liquid particle mixtures in cans subjected to end-over-end
processing. Food Research International 30: 105–116, 1997.