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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...
Autores principales: | Curcio, Stefano, Saraceno, Alessandra, Calabrò, Vincenza, Iorio, Gabriele |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
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 |
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