Application of Machine Learning for Methanolysis of Waste Cooking Oil Using Kaolinite Geopolymer Heterogeneous Catalyst

Application of Machine Learning for Methanolysis of Waste Cooking Oil Using Kaolinite Geopolymer Heterogeneous Catalyst

This work uses three machine learning techniques, response surface methodology (RSM), artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS) to optimise and model biodiesel production from waste cooking oil using process parameters such as methanol-to-oil ratio, catalyst...

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Bibliographic Details
Main Authors: Pascal Mwenge, Hilary Rutto, Tumisang Seodigeng
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Engineering Proceedings
Subjects:
methanolysis
machine learning
artificial neural network
adaptive neuro-fuzzy inference system
response surface methodology
waste cooking oil
Online Access:https://www.mdpi.com/2673-4591/67/1/23
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