Prediction of biodiesel production from microalgal oil using Bayesian optimization algorithm-based machine learning approaches

•Bayesian optimization algorithm (BOA) was implemented to tune hyperparameters.•Hybrid BOA-ANN and BOA-SVR were developed for the prediction of biodiesel yield.•The performance was compared between the developed and the existing models.•Hybrid BOA-SVR outperformed the most recent existing model in t...

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Vydáno v:	Fuel (Guildford) Ročník 309; s. 122184
Hlavní autoři:	Sultana, Nahid, Hossain, S.M. Zakir, Abusaad, M., Alanbar, N., Senan, Y., Razzak, S.A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 01.02.2022 Elsevier BV
Témata:	Algae Algorithms Aquatic microorganisms Artificial neural networks Bayesian analysis Bayesian optimization Biodiesel Biodiesel fuels Biofuels Clean energy Climate change Diesel Energy sources Global warming Hybridization Learning algorithms Learning theory Machine learning Mathematical models Microalgae Modeling Modelling Neural networks Oil Optimization Optimization algorithms Performance enhancement Root-mean-square errors Support vector machines Microalgae Bayesian optimization Biodiesel Modeling Machine learning
ISSN:	0016-2361, 1873-7153
On-line přístup:	Získat plný text
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