Joint use of artificial neural networks and particle swarm optimization to determine optimal performance of an ethanol SI engine operating with negative valve overlap strategy-Reference-Cited by-同舟云学术

Joint use of artificial neural networks and particle swarm optimization to determine optimal performance of an ethanol SI engine operating with negative valve overlap strategy

Published:2020-08 Issue: Volume:204 Page:117892
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Fagundez J.L.S.,Lanzanova T.D.M.,Martins M.E.S.,Salau N.P.G.

Funder

Universidade Federal do Rio Grande do Sul

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

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4. Comparative analysis of different heat transfer correlations in a two-zone combustion model applied on a SI engine fueled with wet ethanol;Fagundez;Appl. Therm. Eng.,2017

5. Experimental analysis and modeling of internal combustion engine operating with wet ethanol;Ambrós;Fuel,2015

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