Shi Zhong-Ping, Pan Feng. Fermentation Process Analysis, Control and Detection Technology (2nd Edition). Beijing: Chemical Industry Press, 2010. 1-10(史仲平, 潘丰. 发酵过程解析、控制与检测技术(第2版). 北京: 化学工业出版社, 2010. 1-10)
[2]
Sharma V, Mishra H N. Unstructured kinetic modeling of growth and lactic acid production by Lactobacillus plantarum NCDC 414 during fermentation of vegetable juices. LWT-Food Science and Technology, 2014, 59(2): 1123-1128
[3]
Wang R F, Koppram R, Olsson L, Franzén C J. Kinetic modeling of multi-feed simultaneous saccharification and co-fermentation of pretreated birch to ethanol. Bioresource Technology, 2014, 172: 303-311
[4]
Dragoi E N, Curteanu S, Galaction A I, Cascaval D. Optimization methodology based on neural networks and self-adaptive differential evolution algorithm applied to an aerobic fermentation process. Applied Soft Computing, 2013, 13(1): 222-238
[5]
Wang J L, Feng X Y, Yu T. A geometric approach to support vector regression and its application to fermentation process fast modeling. Chinese Journal of Chemical Engineering, 2012, 20(4): 715-722
[6]
Setoodeh P, Jahanmiri A, Eslamloueyan R. Hybrid neural modeling framework for simulation and optimization of diauxie-involved fed-batch fermentative succinate production. Chemical Engineering Science, 2012, 81: 57-76
James S, Legge R, Budman H. Comparative study of black-box and hybrid estimation methods in fed-batch fermentation. Journal of Process Control, 2002, 12(1): 113-121
[9]
Wang X F, Chen J D, Liu C B, Pan F. Hybrid modeling of penicillin fermentation process based on least square support vector machine. Chemical Engineering Research and Design, 2010, 88(4): 415-420
[10]
Zorzetto L F M, Filho R M, Wolf-Maciel M R. Processing modelling development through artificial neural networks and hybrid models. Computers and Chemical Engineering, 2000, 24(2-7): 1355-1360
[11]
Laursen S ?, Webb D, Ramirez W F. Dynamic hybrid neural network model of an industrial fed-batch fermentation process to produce foreign protein. Computers and Chemical Engineering, 2007, 31(3): 163-170
[12]
Saraceno A, Curcio S, Calabró V, Iorio G. A hybrid neural approach to model batch fermentation of "ricotta cheese whey" to ethanol. Computers and Chemical Engineering, 2010, 34(10): 1590-1596
[13]
Beluhan D, Beluhan S. Hybrid modeling approach to on-line estimation of yeast biomass concentration in industrial bioreactor. Biotechnology Letters, 2000, 22(8): 631-635
[14]
Birol G, ündey C, Cinar A. A modular simulation package for fed-batch fermentation: penicillin production. Computers and Chemical Engineering, 2002, 26(11): 1553-1565
[15]
Shukla R, Chand S, Srivastava A K. Batch kinetics and modeling of gibberellic acid production by Gibberella fujikuroi. Enzyme and Microbial Technology, 2005, 36(4): 492-497
[16]
Kennedy J, Eberhart R C. Particle swarm optimization. In: Proceedings of the 1995 IEEE International Conference on Neural Networks. Perth, WA: IEEE, 1995. 1942-1948
[17]
Yang C H, Tsai S W, Chuang L Y, Yang C H. An improved particle swarm optimization with double-bottom chaotic maps for numerical optimization. Applied Mathematics and Computation, 2012, 219(1): 260-279
Li M S, Huang X Y, Liu H S, Liu B X, Wu Y, Xiong A H, Dong T W. Prediction of gas solubility in polymers by back propagation artificial neural network based on self-adaptive particle swarm optimization algorithm and chaos theory. Fluid Phase Equilibria, 2013, 356(25): 11-17
[20]
Li Yong, Wu Min, Cao Wei-Hua, Lai Xu-Zhi, Wang Chun-Sheng. PSO-BP control algorithm of granulation process based on evaluation and optimization of granularity distribution. Acta Automatica Sinica, 2012, 38(6): 1007-1016(李勇, 吴敏, 曹卫华, 赖旭芝, 王春生. 基于粒度分布评估与优化的制粒过程PSO-BP控制算法. 自动化学报, 2012, 38(6): 1007-1016)
[21]
Sheng Yang, Lai Xu-Zhi, Wu Min. Position control of a planar three-link underactuated mechanical system based on model reduction. Acta Automatica Sinica, 2014, 40(7): 1303-1310 (盛洋, 赖旭芝, 吴敏. 基于模型降阶的平面三连杆欠驱动机械系统位置控制. 自动化学报, 2014, 40(7): 1303-1310)
[22]
Jia D L, Zheng G X, Qu B Y, Khan M K. A hybrid particle swarm optimization algorithm for high-dimensional problems. Computers and Industrial Engineering, 2011, 61(4): 1117-1122
[23]
Sedki A, Ouazar D. Hybrid particle swarm optimization and differential evolution for optimal design of water distribution systems. Advanced Engineering Informatics, 2012, 26(3): 582-591
[24]
Hornik K, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Networks, 1989, 2(5): 359-366
Benazet F, Cartier M, Florent J, Godard C, Jung G, Lunel J, Mancy D, Pascal C, Renaut J, Tarridec P, Theilleux J, Tissier R, Dubost M, Ninet L. Nosiheptide, a sulfur-containing peptide antibiotic isolated from Streptomyces actuosus 40037. Experrentia, 1980, 36(4): 414-416
[27]
Koutinas A A, Wang R, Kookos I K, Webb C. Kinetic parameters of Aspergillus awamori in submerged cultivations on whole wheat flour under oxygen limiting conditions. Biochemical Engineering Journal, 2003, 16(1): 23-34
[28]
Khan N S, Mishra I M, Singh R P, Prasad B. Modeling the growth of Corynebacterium glutamicum under product inhibition in L-glutamic acid fermentation. Biochemical Engineering Journal, 2005, 25(2): 173-178
[29]
Sun J, Fang W, Palade V, Wu X J, Xu W B. Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point. Applied Mathematics and Computation, 2011, 218(7): 3763-3775
[30]
Cvijovi? D, Klinowski J. Taboo Search: an approach to the multiple minima problem. Science, 1995, 267(5198): 664-666
[31]
Yao X, Liu Y, Lin G M. Evolutionary programming made faster. IEEE Transactions on Evolutionary Computation, 1999, 3(2): 82-102