Comparison of various machine learning techniques for modeling the heterogeneous acid-catalyzed alcoholysis process of biodiesel production from green seed canola oil

Author:

Esmi Fahimeh,Dalai Ajay K.,Hu Yongfeng

Funder

Natural Sciences and Engineering Research Council of Canada

Canada Research Chairs

Publisher

Elsevier BV

Reference44 articles.

1. Development of multiple machine-learning computational techniques for optimization of heterogenous catalytic biodiesel production from waste vegetable oil: development of multiple machine-learning computational techniques for optimization,”;Abdelbasset;Arab. J. Chem.,2022

2. Optimization of heterogeneous Catalyst-assisted fatty acid methyl esters biodiesel production from Soybean oil with different Machine learning methods;Abdelbasset;Arab. J. Chem.,2022

3. Machine learning technology in biodiesel research: a review;Aghbashlo;Prog. Energy Combust. Sci.,2021

4. A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques;Ahmad;Fuel,2022

5. Theoretical investigation on optimization of biodiesel production using waste cooking oil: machine learning modeling and experimental validation;Almohana;Energy Rep.,2022

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