Hybrid neural modeling of bioprocesses using functional link networks

被引：15

作者：

Harada, LHP ^{[1
]}

Da Costa, AC ^{[1
]}

Maciel, R ^{[1
]}

机构：

[1] Univ Estadual Campinas, FEQ, DPQ, BR-13081970 Campinas, SP, Brazil

来源：

APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY | 2002年 / 98卷 / 1-9期

关键词：

extractive alcoholic fermentation; functional link networks; hybrid model; bioprocess; modeling;

D O I：

10.1385/ABAB:98-100:1-9:1009

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The objective of this work was to develop a model for an extractive ethanol fermentation in a simple and rapid way. This model must be sufficiently reliable to be used for posterior optimization and control studies. A hybrid neural model was developed, combining mass and energy balances with neural networks, which describe the process kinetics. To determine the best model, two structures of neural networks were compared: the functional link networks and the feedforward neural networks. The two structures are shown to describe well the process kinetics, and the advantages of using the functional link networks are discussed.

引用

页码：1009 / 1023

页数：15

共 50 条

[21] Forecasting foreign exchange rates using hybrid functional link RBF neural network and Levenberg-Marquardt learning algorithm
Rout, A. K.
Dash, P. K.
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2016, 10 (03): : 299 - 313
[22] Genetic learning of functional link networks
Bhumireddy, C
Chen, CLP
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 432 - 437
[23] Reduced-order functional link neural network for HVAC thermal system identification and modeling
Chow, MY
Teeter, J
1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997, : 5 - 9
[24] Deformation modeling of manipulators for DEMO using artificial neural networks
Li, Ming
Wu, Huapeng
Handroos, Heikki
Skilton, Robert
Hekmatmanesh, Amin
Loving, Antony
FUSION ENGINEERING AND DESIGN, 2019, 146 : 2401 - 2406
[25] Modeling plasma modification of glass surface using neural networks
Wang, Changquan
He, Xiangning
Zhang, Yanhu
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4639 - +
[26] Modeling of hourly NOx concentrations using artificial neural networks
Hasham, FA
Kindzierski, WB
Stanley, SJ
JOURNAL OF ENVIRONMENTAL ENGINEERING AND SCIENCE, 2004, 3 : S111 - S119
[27] Modeling Lipase Production Process Using Artificial Neural Networks
Sheta, Alaa F.
Hiary, Rania
2012 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2012, : 1158 - 1163
[28] Loaded cylindrical metallic cavities modeling using neural networks
Milovanovic, B
Stankovic, Z
Ivkovic, S
TELSIKS '99: 4TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES, PROCEEDINGS, VOLS 1 AND 2, 1999, : 214 - 217
[29] Using artificial neural networks for modeling suspended sediment concentration
Wang, Yu-Min
Traore, Seydou
Kerh, Tienfuan
MMACTEE' 08: PROCEEDINGS OF THE 10TH WSEAS INTERNATIONAL CONFERENCE MATHERMATICAL METHODS AND COMPUTATIONAL TECHNIQUES IN ELECTRICAL ENGINEERING: COMPUTATIONAL METHODS AND INTELLIGENT SYSTEMS, 2008, : 108 - +
[30] High-Frequency Electronic Modeling Using Neural Networks
Zhang, Qijun
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ADVANCED CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (ACAAI 2018), 2018, 155 : 134 - 136

← 1 2 3 4 5 →