Predictive study of ultra-low emissions from dual-fuel engine using Artificial Neural Networks combined with Genetic algorithm

Please use this identifier to cite or link to this item: https://doi.org/10.1080/15435075.2019.1650048

DC Field	Value
dc.title	Predictive study of ultra-low emissions from dual-fuel engine using Artificial Neural Networks combined with Genetic algorithm
dc.contributor.author	Wenbin Yu
dc.contributor.author	Feiyang Zhao
dc.date.accessioned	2019-09-12T01:20:49Z
dc.date.available	2019-09-12T01:20:49Z
dc.date.issued	2019-08-02
dc.identifier.citation	Wenbin Yu, Feiyang Zhao (2019-08-02). Predictive study of ultra-low emissions from dual-fuel engine using Artificial Neural Networks combined with Genetic algorithm. International Journal of Green Energy 16 (12) : 938-946. ScholarBank@NUS Repository. https://doi.org/10.1080/15435075.2019.1650048
dc.identifier.issn	1543-5075
dc.identifier.uri	https://scholarbank.nus.edu.sg/handle/10635/158393
dc.publisher	Taylor & Francis
dc.source	Taylor & Francis
dc.type	Article
dc.contributor.department	MECHANICAL ENGINEERING
dc.description.doi	10.1080/15435075.2019.1650048
dc.description.sourcetitle	International Journal of Green Energy
dc.description.volume	16
dc.description.issue	12
dc.description.page	938-946
dc.published.state	Published
Appears in Collections:	Staff Publications Elements

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