A hybrid SVR-PSO model to predict a CFD-based optimised bubbling fluidised bed pyrolysis reactor
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Jalalifar, Salman, Masoudi, Mojtaba, Abbassi, Rouzbeh, Garaniya, Vikram, Ghiji, Mohammadmahdi 
ORCID: 0000-0001-8708-4881 and Salehi, Fatemeh
(2020)
A hybrid SVR-PSO model to predict a CFD-based optimised bubbling fluidised bed pyrolysis reactor.
Energy, 191.
ISSN 0360-5442
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/40873 |
| DOI | 10.1016/j.energy.2019.116414 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Historical > FOR Classification > 0915 Interdisciplinary Engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | SVR; PSO; CFD; biomass fast pyrolysis process; SVR-PSO; machine learning algorithms; MLAs; parametric study |
| Citations in Scopus | 34 - View on Scopus |
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