Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/33053

TitleModelling of Biotechnological Processes - An approach based on Artificial Neural Networks
Author(s)Valente, Eduardo
Rocha, Miguel
Ferreira, E. C.
Rocha, I.
Issue date2009
PublisherSpringer Verlag
JournalStudies in Computational Intelligence
CitationValente, Eduardo; Rocha, I.; Ferreira, E. C.; Rocha, Miguel, Modelling of Biotechnological Processes - An approach based on Artificial Neural Networks. In M.C. Nicoletti and L.C. Jain, Computational Intelligent Techniques for Bioprocess Modelling, Supervision and Control, Vol. 218, Berlin: Springer-Verlag, 2009. ISBN: 978-3-642-01887-9, 311-332
Abstract(s)In this chapter we describe a software tool for modelling fermentation processes, the FerMoANN, which allows researchers in biology and biotechnology areas to access the potential of Artificial Neural Networks (ANNs) for this task. The FerMoANN is tested and validated using two fermentation processes, an Escherichia coli recombinant protein production and the production of a secreted protein with Saccharomyces cerevisiae in fed-batch reactors. The application to these two case studies, tested for different configurations of feedforward ANNs, illustrate the usefulness of these structures, when trained according to a supervised learning paradigm.
TypeBook part
URIhttp://hdl.handle.net/1822/33053
ISBN978-3-642-01887-9
DOI10.1007/978-3-642-01888-6_11
ISSN1860-949X
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Livros e Capítulos de Livros / Books and Book Chapters

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