Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Stefan Gehlen"'
Publikováno v:
CHIMIA, Vol 53, Iss 11 (1999)
Since artificial neural networks represent a commercially attractive tool for process modelling and optimisation, some examples of their use in biotechnology are briefly reviewed. Models based on neural networks can be successfully applied for the op
Externí odkaz:
https://doaj.org/article/a35f0e71643d4bb587a06a15e0300129
Expert systems and neural networks are new tools for the control of fermentation processes. With expert systems the fermentation plant and the process itself is modelled via a generalized, qualitative system description based on the experience of hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::129c47104c14802006792cdd2f4be4a1
Publikováno v:
Springer Reference Technik ISBN: 9783662455371
Springer Reference Technik
Springer Reference Technik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aad7572f6a04f00597b3b22b0506083f
https://doi.org/10.1007/978-3-662-45537-1_142-1
https://doi.org/10.1007/978-3-662-45537-1_142-1
Autor:
Alaettin Dogan, Alexander Fay, Stefan Gehlen, Andreas Höpfner, Constantin Hildebrandt, Artur Bondza, Benedikt Rauscher, Christian Eck, Jörg Nagel, Tobias Kehl
Publikováno v:
atp magazin. 60:76-85
Von den Autoren wurde ein neuer Ansatz entwickelt und implementiert, der Entwicklern ermöglicht, Anwendungen, die im Zuge der fortschreitenden Digitalisierung auf der Analyse und Kombination von Daten basieren, unmittelbar bei Erstellung mit eCl@ss-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7df717cdada29780b123af1134dd120
https://doi.org/10.17560/atp.v60i09.2368
https://doi.org/10.17560/atp.v60i09.2368
Publikováno v:
auto. 60:352-361
Zusammenfassung Zwei rechnergestützte Verfahren für die biotechnologische Prozessführung werden vorgestellt und diskutiert: Ein Off-line-Verfahren zur Unterstützung der Modellbildung und ein On-line-Verfahren zur schrittweisen Optimierung der Pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03efe5d3976c33107a8ca9363723fa42
https://doi.org/10.1524/auto.2012.1006
https://doi.org/10.1524/auto.2012.1006
Autor:
Karin Kovárová-Kovar, Thoralf Keller, Michael Kolb, Axel Kunze, Stefan Gehlen, Adolphus P. G. M. van Loon, Ralph von Däniken
Publikováno v:
Journal of Biotechnology. 79:39-52
The fed-batch process for commercial production of riboflavin (vitamin B2) was optimized on-line using model-predictive control based on artificial neural networks (ANNs). The information required for process models was extracted from both historical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d301f14ee253294d12b7f02629334db
https://doi.org/10.1016/s0168-1656(00)00211-x
https://doi.org/10.1016/s0168-1656(00)00211-x
Publikováno v:
IFAC Proceedings Volumes. 28:301-304
The article at hand presents new results and conceptions concerning the intelligent and autonomous control of biotechnological processes by integrating conventional, knowledge-based and learning methods. The extended system BioX++ facilitates the tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d658fafc0a48613757a428024c0e523
https://doi.org/10.1016/s1474-6670(17)45649-7
https://doi.org/10.1016/s1474-6670(17)45649-7
Publikováno v:
auto. 43:85-91
The paper at hand shows some applications of neural nets for control tasks and demonstrates the applicability of the presented methods. After a short introduction the reconstruction of nonlinear characteristic fields of the steam-turbines by a specia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::712ce60321c78903c55cab06af55618f
https://doi.org/10.1524/auto.1995.43.2.85
https://doi.org/10.1524/auto.1995.43.2.85
Publikováno v:
CVPR Workshops
The extension of 2D image-based face recognition methods with respect to 3D shape information and the fusion of both modalities is one of the main topics in the recent development of facial recognition. In this paper we discuss different strategies a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::929f3407bb50c688734d7730d54b9af0
https://doi.org/10.1109/cvpr.2005.584
https://doi.org/10.1109/cvpr.2005.584