References
- Petrov MM, Ilkova TS, Tzonkov SM. Modeling and fuzzy optimization of whey fermentation by Kluyveromyces marxianus var. lactis MC 5. Chem Biochem Eng Q. 2005;19:49–55.
- Frangu L, Ceangi E, Caraman S, Boutallis Y. A pattern recognition approach to intelligent behaviour: switching the strategies. In: Yager R, Sgurev V, Jotsov V, editors. IEEE International Symposium Intelligent Systems IS 2002; 2002 Sept 10–12; Varna, Bulgari.
- Fullana M, Trabelsi F, Recasens F. Use of neural net computing for statistical and kinetic modeling and simulation of supercritical fluid extractors. Chem Eng Sci. 2000;55:79–95.
- Heder SB, Barbosa HJ. Artificial immune systems for optimization. Nat Inspired Algorithms Optimisation. 2009;193:389–411.
- Kosko B. Neural networks and fuzzy systems. New York (NY): Prentice-Hall; 1992.
- Linko K, Zhu Y-H. Neural network modelling for real-time variable estimation and prediction in the control of glucoamylase fermentation. Process Biochem. 1992;27:275–283.
- Linko P, Huhtala A, Mutharasan R. Protein response of insect cells to bioreactor environmental stresses. J Biotechnol. 2005;118:278–289.
- Liu H, Ouyang А, Li Y, Yang S-T. Three-dimensional neural differentiation of embryonic stem cells with ACM induction in microfibrous matrices in bioreactors. Biotechnol Prog. 2013;29:1013–1022.
- Liu B, Liu YK. Expected value of fuzzy variable and fuzzy expected value models. IEEE Trans Fuzzy Syst. 2002;10:445–450.
- Oreški S, Zupan J, Glaviè P. Artificial neural network classification of phase equilibrium methods – part 2. Chem Biochem Eng Q. 2002; 16(2):41–57.
- Tommaso G, Moraes BS, Macedo GS, Silva GS, Kamimura ES. Production of lipase from Candida rugosa using cheese whey through experimental design and surface response methodology. Food Bioprocess Tech. 2011;4:1473–1481.
- Tommaso G, Domingues MR, Ribeiro R, Varesche MB, Zaiat M, Foresti E. Anaerobic degradation of protein: simplified kinetic modelling and microbial dynamics. Water Air Soil Pollut. 2013;224(5):1–12.
- Valdez-Castro L, Baruch L, Barrera-Corte J. Neural networks applied to the prediction of fed-batch fermentation kinetics of Bacillus thuringiensis. Bioprocess Biosyst Eng. 2003;25:229–233.
- Angelov PP, Yager R. A new type of simplified fuzzy rule-based systems. Int J Gen Syst. 2012;41(2):163–185.
- Wang F-S, Tzu-Liang S, Horng-Jhy J. Hybrid Differential evolution for problems of kinetic parameter estimation and dynamic optimization of an ethanol fermentation process. Ind Eng Chem Res. 2001;40:2876–2885.
- Giridhar R, Srivastava A. Model based constant feed fed-batch L-Sorbose production process for improvement in L-Sorbose productivity. Chem Biochem Eng Q. 2000;14(4):133–140.
- Stoyanov SK. Optimisation of technological objects. Sofia: Technika; 1983.