Modelling and prediction of bioethanol production from intermediates and byproduct of sugar beet processing using neural networks
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DOI: 10.1016/j.renene.2015.07.054
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- Gueguim Kana, E.B. & Oloke, J.K. & Lateef, A. & Adesiyan, M.O., 2012. "Modeling and optimization of biogas production on saw dust and other co-substrates using Artificial Neural network and Genetic Algorithm," Renewable Energy, Elsevier, vol. 46(C), pages 276-281.
- Grahovac, Jovana A. & Dodić, Jelena M. & Dodić, Siniša N. & Popov, Stevan D. & Vučurović, Damjan G. & Jokić, Aleksandar I., 2012. "Future trends of bioethanol co-production in Serbian sugar plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3270-3274.
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- Narisetty, Vivek & Narisetty, Sudheera & Jacob, Samuel & Kumar, Deepak & Leeke, Gary A. & Chandel, Anuj Kumar & Singh, Vijai & Srivastava, Vimal Chandra & Kumar, Vinod, 2022. "Biological production and recovery of 2,3-butanediol using arabinose from sugar beet pulp by Enterobacter ludwigii," Renewable Energy, Elsevier, vol. 191(C), pages 394-404.
- Gniewko Niedbała, 2019. "Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Rapeseed," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
- Naveed, Muhammad Hamza & Khan, Muhammad Nouman Aslam & Mukarram, Muhammad & Naqvi, Salman Raza & Abdullah, Abdullah & Haq, Zeeshan Ul & Ullah, Hafeez & Mohamadi, Hamad Al, 2024. "Cellulosic biomass fermentation for biofuel production: Review of artificial intelligence approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
- Pomeroy, Brett & Grilc, Miha & Likozar, Blaž, 2022. "Artificial neural networks for bio-based chemical production or biorefining: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
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- Niaze, Ambereen A. & Sahu, Rohit & Sunkara, Mahendra K. & Upadhyayula, Sreedevi, 2023. "Model construction and optimization for raising the concentration of industrial bioethanol production by using a data-driven ANN model," Renewable Energy, Elsevier, vol. 216(C).
- Małgorzata Smuga-Kogut & Tomasz Kogut & Roksana Markiewicz & Adam Słowik, 2021. "Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment," Energies, MDPI, vol. 14(1), pages 1-16, January.
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Keywords
Ethanol; Sugar beet; Yeast; Neural networks; Garson equation; Modelling;All these keywords.
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