Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

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Bibliographic Details
Main Authors:	Wenbin Yu, Feiyang Zhao
Other Authors:	MECHANICAL ENGINEERING
Format:	Article
Published:	Taylor & Francis 2021
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/191922
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1919222024-04-04T02:04:41Z Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network Wenbin Yu Feiyang Zhao MECHANICAL ENGINEERING Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 43 17 2063-2076 2021-06-09T07:27:37Z 2021-06-09T07:27:37Z 2019-07-10 Article Wenbin Yu, Feiyang Zhao (2019-07-10). Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 43 (17) : 2063-2076. ScholarBank@NUS Repository. 15567036 https://scholarbank.nus.edu.sg/handle/10635/191922 Taylor & Francis Taylor & Francis
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
author2	MECHANICAL ENGINEERING
author_facet	MECHANICAL ENGINEERING Wenbin Yu Feiyang Zhao
format	Article
author	Wenbin Yu Feiyang Zhao
spellingShingle	Wenbin Yu Feiyang Zhao Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network
author_sort	Wenbin Yu
title	Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network
title_short	Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network
title_full	Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network
title_fullStr	Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network
title_full_unstemmed	Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network
title_sort	prediction of critical properties of biodiesel fuels from fames compositions using intelligent genetic algorithm based back propagation neural network
publisher	Taylor & Francis
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/191922
_version_	1800914822329532416

Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network

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