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

Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/191922

DC Field	Value
dc.title	Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm based back propagation neural network
dc.contributor.author	Wenbin Yu
dc.contributor.author	Feiyang Zhao
dc.date.accessioned	2021-06-09T07:27:37Z
dc.date.available	2021-06-09T07:27:37Z
dc.date.issued	2019-07-10
dc.identifier.citation	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.
dc.identifier.issn	15567036
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/191922
dc.publisher	Taylor & Francis
dc.source	Taylor & Francis
dc.type	Article
dc.contributor.department	MECHANICAL ENGINEERING
dc.description.sourcetitle	Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
dc.description.volume	43
dc.description.issue	17
dc.description.page	2063-2076
Appears in Collections:	Elements Staff Publications

File	Description	Size	Format	Access Settings	Version
10.108015567036.2019.1641575.zip		898.56 kB	ZIP	OPEN	None	View/Download

Check