Dependence of composition-based approaches on hybrid biodiesel fuel properties prediction using artificial neural network and random tree algorithms-Reference-Cited by-同舟云学术

Dependence of composition-based approaches on hybrid biodiesel fuel properties prediction using artificial neural network and random tree algorithms

Published:2023-12 Issue: Volume:218 Page:119324
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Giwa Solomon O.^ORCID,Taziwa Raymond T.,Sharifpur Mohsen^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference34 articles.

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4. Investigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN);Jahirul;Renew. Energy,2021

5. Assessment of millennium development goal 7 in the Niger delta region of Nigeria via emissions inventory of flared gas, Niger;Giwa;J. Technol.,2016

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