Development of advanced machine learning models for optimization of methyl ester biofuel production from papaya oil: Gaussian process regression (GPR), multilayer perceptron (MLP), and K-nearest neighbor (KNN) regression models-Reference-Cited by-同舟云学术

Development of advanced machine learning models for optimization of methyl ester biofuel production from papaya oil: Gaussian process regression (GPR), multilayer perceptron (MLP), and K-nearest neighbor (KNN) regression models

Published:2023-07 Issue:7 Volume:16 Page:104833
ISSN:1878-5352
Container-title:Arabian Journal of Chemistry
language:en
Short-container-title:Arabian Journal of Chemistry

Author:

Sumayli Abdulrahman

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference52 articles.

1. Review of fossil fuels and future energy technologies;Abas;Futures,2015

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

3. Methanolysis of Carica papaya seed oil for production of biodiesel;Agunbiade;J. Fuels,2014

4. Pattern recognition;Bishop;Machine Learning,2006

5. Bishop, C.M. and N.M. Nasrabadi, Pattern recognition and machine learning. Vol. 4. 2006: Springer.

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