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The Scientific World Journal
Volume 2014, Article ID 303858, 9 pages
Research Article

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

Laboratory of Transport Phenomena and Biotechnology, Department of Informatics, Modeling, Electronics and Systems Engineering, University of Calabria, Ponte P. Bucci, Cubo 39/C, 87036 Rende, Italy

Received 30 August 2013; Accepted 30 September 2013; Published 5 January 2014

Academic Editors: A.-U. Amin, A. Bekatorou, and A. Tariq

Copyright © 2014 Stefano Curcio et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Baharak Sajjadi, Abdul Aziz Abdul Raman, Rajarathinam Parthasarathy, and Shahaboddin Shamshirband, “Sensitivity analysis of catalyzed-transesterification as a renewable and sustainable energy production system by adaptive neuro-fuzzy methodology,” Journal of the Taiwan Institute of Chemical Engineers, 2016. View at Publisher · View at Google Scholar
  • Stefan Junne, and Johannes Kabisch, “Fueling the future with biomass: Processes and pathways for a sustainable supply of hydrocarbon fuels and biogas,” Engineering in Life Sciences, vol. 17, no. 1, pp. 14–26, 2016. View at Publisher · View at Google Scholar
  • Sohrab Zendehboudi, Nima Rezaei, and Ali Lohi, “Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review,” Applied Energy, vol. 228, pp. 2539–2566, 2018. View at Publisher · View at Google Scholar