Neural and Hybrid Modeling: An Alternative Route to Efficiently Predict the Behavior of Biotechnological Processes Aimed at Biofuels Obtainment

The present paper was aimed at showing that advanced modeling techniques, based either on artificial neural networks or on hybrid systems, might efficiently predict the behavior of two biotechnological processes designed for the obtainment of second-generation biofuels from waste biomasses. In parti...

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Detalles Bibliográficos
Autores principales: Curcio, Stefano, Saraceno, Alessandra, Calabrò, Vincenza, Iorio, Gabriele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913350/
https://www.ncbi.nlm.nih.gov/pubmed/24516363
http://dx.doi.org/10.1155/2014/303858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913350/
https://www.ncbi.nlm.nih.gov/pubmed/24516363
http://dx.doi.org/10.1155/2014/303858

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