Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/biomass-estimation-in-plant-cell-cultures-a-neural-network-approach-ct45jg0sIH
References (21)
-
C. Fu, M. Poch (1993)
Application of a multi-layered neural network to system identificationInternational Journal of Systems Science, 24
-
G. Montague, A. Morris, M. Tham (1992)
Enhancing bioprocess operability with generic software sensors.Journal of biotechnology, 25 1-2
-
K. San, G. Stephanopoulos (1984)
Studies on on‐line bioreactor identification. II. Numerical and experimental resultsBiotechnology and Bioengineering, 26
-
C. Campmajó, M. Poch, J. Robusté, F. Valero, J. Lafuente (1992)
Evaluation of artificial neural networks for modelling enzymatic glucose determination by flow injection analysisAnalusis, 20
-
J. Glassey, G. Montague, A. Ward, B. Kara (1994)
Enhanced supervision of recombinant E. coli fermentation via artificial neural networksProcess Biochemistry, 29
-
M. Syu, G. Tsao (1993)
Neural network modeling of batch cell growth patternBiotechnology and Bioengineering, 42
-
D. Signorini, J. Slattery, S. Dodds, V. Lane, P. Littlejohns (1995)
Neural networksThe Lancet, 346
-
R. Lippmann (1987)
An introduction to computing with neural netsIEEE ASSP Magazine, 4
-
J. Zhong, K. Fujiyama, T. Seki, T. Yoshida (1993)
On-line monitoring of cell concentration of Perilla frutescens in a bioreactor.Biotechnology and bioengineering, 42 4
-
M. Willis, G. Montague, C. Massimo, M. Tham, Julian Morris (1992)
Artificial neural networks in process estimation and controlAutom., 28
-
M. Collins (1993)
Empiricism Strikes Back: Neural Networks in BiotechnologyBio/Technology, 11
-
G. Stephanopoulos, K. San (1984)
Studies on on‐line bioreactor identification. I. TheoryBiotechnology and Bioengineering, 26
-
K. Cios, K. Chen, Robert Langenderfer (1990)
Use of neural networks in detecting cardiac diseases from echocardiographic imagesIEEE Engineering in Medicine and Biology Magazine, 9
-
M. Hartnett, D. Diamond, Philip Barker (1993)
Neural network based recognition of flow injection patternsAnalyst, 118
-
T. McAvoy, Hong-Te Su, N. Wang, Ming He, John Horvath, Hratch Semerjian (1992)
A comparison of neural networks and partial least squares for deconvoluting fluorescence spectraBiotechnology and Bioengineering, 40
-
F. Valero, J. Lafunte, M. Poch, C. Solà (1990)
Biomass estimation using on-line glucose monitoring by flow injection analysisApplied Biochemistry and Biotechnology, 24-25
-
J. Zupan, J. Gasteiger (1991)
Neural networks: A new method for solving chemical problems or just a passing phase?Analytica Chimica Acta, 248
-
(1992)
Neural Network Modelling for Real - time Variable Estimation and Prediction in the Control of Glu - coamylase Fermentation -
J. Albiol, J. Robusté, C. Casas, M. Poch (1993)
Biomass Estimation in Plant Cell Cultures Using an Extended Kalman FilterBiotechnology Progress, 9
-
J. Thibault, V. Breusegem, A. Chéruy (1990)
On‐line prediction of fermentation variables using neural networksBiotechnology and Bioengineering, 36
-
K. Hornik, M. Stinchcombe, H. White (1989)
Multilayer feedforward networks are universal approximatorsNeural Networks, 2
- Publisher
- Wiley
- Copyright
- Copyright © 1995 American Institute of Chemical Engineers (AIChE)
- ISSN
- 8756-7938
- eISSN
- 1520-6033
- DOI
- 10.1021/bp00031a012
- Publisher site
- See Article on Publisher Site
Abstract
10.1002/btpr.5420110112.abs The special characteristics of plant cell cultures make it difficult to use conventional analytical techniques for on‐line biomass monitoring. Meanwhile, promising results have been obtained using mathematical models and recursive estimation algorithms. However, in this case, additional experimental effort is necessary to obtain a reasonable description of the process. Recently, techniques using more empirical approaches have been proposed to describe complex processes, minimizing the experimental work needed for their application. In this paper, we report on the use of artificial neural networks to monitor biomass evolution in plant cell cultures. The results obtained with a three‐layered network are presented. Method requirements and capabilities are compared with the method based on the extended Kalman filter used in previous work.
Journal
Biotechnology Progress – Wiley
Published: Jan 1, 1995