Application of neural networks to lysine production

Y.-H. Zhu1, T. Rajalahti1, S. Linko1
1Laboratory of Biotechnology and Food Engineering, Department of Chemical Engineering, Helsinki University of Technology, FIN-02150 Espoo, Finland

Tài liệu tham khảo

Linko, 1988, Uncertainties, fuzzy reasoning, and expert systems in bioengineering, Ann. NY Acad. Sci., 542, 83, 10.1111/j.1749-6632.1988.tb25811.x Eerikäinen, 1993, An expert system with fuzzy variables and neural network estimation, 1, 202 Linko, 1993, Artificial intelligence for the food industry, 187 Linko, 1994, Artificial intelligence in bioprocess modelling, estimation and control, Dev. Food Sci., 36, 143 Hoskins, 1988, Artificial neural network models of knowledge representation in chemical engineering, Comput. Chem. Eng., 12, 881, 10.1016/0098-1354(88)87015-7 Lippmann, 1987, An introduction to computing with neural nets, IEEE AASP Mag., 4, 4, 10.1109/MASSP.1987.1165576 Hertz, 1991 Miller, 1990 Collins, 1993, Empiricism strikes back: neural networks in biotechnology, Bio/Technology, 11, 163, 10.1038/nbt0293-163 Linko, 1992, Neural networks in bioengineering, Kemia-Kemi, 19, 215 Willis, 1992, Artificial neural networks in process estimation and control, Automatica, 28, 1181, 10.1016/0005-1098(92)90059-O Simutis, 1993, Fuzzy-aided neural network for real-time state estimation and process prediction in the alcohol formation step of production-scale beer brewing, J. Biotechnol., 27, 203, 10.1016/0168-1656(93)90109-Z Linko, 20231994, Hybrid fuzzy neural bioprocess control, 84 Linko, 27301994, Hybrid fuzzy knowledge-based and neural systems for fed-batch baker's yeast bioprocess control, Proc. 1st Asian Control Conf., Tokyo, 1, 491 Linko, 1992, Neural network modeling for real-time variable estimation and prediction in the control of glucoamylase fermentation, Process Biochem., 27, 257, 10.1016/0032-9592(92)85012-Q Di Massimo, 1992, Towards improved penicillin fermentation via artificial neural network, Comput. Chem. Eng., 16, 283, 10.1016/0098-1354(92)80048-E Linko, 1992, Optimization of the production of β-galactosidase by an autolytic strain of Streptococcus salivarius subsp. thermophilus, Ann. NY Acad. Sci., 672, 588, 10.1111/j.1749-6632.1992.tb32732.x Caudill, 1991, Expert networks, Byte, 16, 108 Barron, 1993, Putting fuzzy logic into focus, Byte, 18, 111 Eerikäinen, 1994, Neural networks in extrusion process identification and control, Food Control, 5, 111, 10.1016/0956-7135(94)90096-5 Huang, 1993, Modular neural networks for identification of starches in manufacturing food products, Biotechnol. Prog., 9, 401, 10.1021/bp00022a007 Zhu, 1994, Neural network model in state variable prediction during start-up of chemostat culture for ethanol production by Saccharomyces cerevisiae yeast, Trans. Inst. Chem. Eng. C, 72, 135 Horimoto, 1995, Neural networks vs principal component regression for prediction of wheat flour loaf volume in baking tests, J. Food Sci., 60, 429, 10.1111/j.1365-2621.1995.tb09796.x Zhu, 1996, Neural networks in enzymology, Adv. Mol. Cell Biol., 10.1016/S1569-2558(08)60298-2 Linko, 1995, Neural networks in lysine fermentation, 336 Zhu, 1995, Neural network applications in bioprocesses Werbos, 1974, Beyond regression: new tools for prediction and analysis in the behavioral science Rumelhart, 1986, Learning representation by backpropagation, Nature (London), 323, 533, 10.1038/323533a0 Adams, 21231990, Momentum in a back-propagation artificial neural network, 191 Hirose, 1991, Back-propagation algorithm which varies the number of hidden units, Neural Networks, 4, 61, 10.1016/0893-6080(91)90032-Z 1990 Kosola, 1994, Neural control of fed-batch baker's yeast fermentation, Dev. Food Sci., 36, 321