Biomedical Engineering Reference
In-Depth Information
References
1. Alexandrakis
D
(2012)
NIRS
in
an
industrial
environment.
Euro
Pharmaceut
Rev
17(1):27-30
2. Arnold SA, Crowley J, Woods N, Harvey LM, McNeil B (2003) In-situ near infrared
spectroscopy to monitor key analytes in mammalian cell cultivation. Biotechnol Bioeng
84(1):13-19
3. Arora N, Biegler LT (2001) Redescending estimators for data reconciliation and parameter
estimation. Comput Chem Eng 25(11-12):1585-1599
4. Balestrassi PP, Popova E, Paiva AP, Marangon Lima JW (2009) Design of experiments on
neural
network's
training
for
nonlinear
time
series
forecasting.
Neurocomputing
72:1160-1178
5. Basheer IA, Hajmeer M (2000) Artificial neural networks: fundamentals, computing, design
and application. J Microbiol Methods 43:3-31
6. Brereton R (2009) Chemometrics for pattern recognition. Wiley, Chichester
7. Chatfield C, Collins AJ (1980) Introduction to multivariate analysis. Chapman and Hall,
London
8. Chen M, Hu M, Hofestädt R (2011) A systematic petri net approach for multiple-scale
modeling and simulation of biochemical processes. Appl Biochem Biotechnol 164:338-352
9. Cunha CCF, Glassey J, Montague GA, Albert S, Mohan P (2002) An assessment of seed
quality and its influence on productivity estimation in an industrial antibiotic fermentation.
Biotechnol Bioeng 78:658-669
10. David F, Westphal R, Bunk B, Jahn D, Franco-Lara E (2010) Optimization of antibody
fragment production in Bacillus megaterium: the role of metal ions on protein secretion.
J Biotechnol 150(1):115-124
11. Desai K, Badhe Y, Tambe SS, Kulkarni BD (2006) Soft-sensor development for fed-batch
bioreactors using support vector regression. Biochem Eng J 27(3):225-239
12. Fielding AH (2007) Cluster and classification techniques for the biosciences. Cambridge
University Press, Cambridge
13. Gao Y, Kipling K, Glassey J, Willis M, Montague G, Zhou Y, Titchener-Hooker N (2010)
Application of agent-based system for bioprocess description and process improvement.
Process Biochem 26:706-716
14. Geladi P, Kowalski BR (1986) Partial least-squares regression: a tutorial. Anal Chimica Acta
185:1-17
15. Glassey J, Ignova M, Montague GA, Morris AJ (1994) Autoassociative neural networks in
bioprocess condition monitoring. In: ADCHEM'94, Kyoto, pp 447-451
16. Gregersen L, JØrgensen SB (1999) Supervision of fed-batch fermentations. Chem Eng J
75:69-76
17. Gu H, Pan Z, Xi B, Asiago V, Musselman B, Raftery D (2011) Principal component directed
partial least squares analysis for combining nuclear magnetic resonance and mass
spectrometry data in metabolomics: application to the detection of breast cancer. Anal
Chim Acta 686(1-2):57-63
18. Guebel DV, Cánovas M, Torres NV (2009) Analysis of the Escherichia coli response to
glycerol
pulse in
continuous,
high-cell
density
culture
using
a
multivariate
approach.
Biotechnol Bioeng 102(3):910-922
19. Han-Ming W (2011) On biological validity indices for soft clustering algorithms for gene
expression data. Comput Stat Data Anal 55(5):1969-1979
20. Haseltine EL, Rawlings JB (2005) Critical evaluation of extended Kalman filtering and
moving horizon estimation. Ind Eng Chem Res 44(8):2451-2460
21. Huang JH, Shimizu H, Shioya S (2002) Data preprocessing and output evaluation of an
autoassociative neural network model for online fault detection in virginiamycin production.
J Biosci Bioeng 94(1):70-77
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