Modeling and optimization of biodiesel engine performance using advanced machine learning methods

Energy

Volumn 55, Issue , 2013, Pages 519-528

  Wong, Ka In ^a   Wong, Pak Kin ^a   Cheung, Chun Shun ^b   Vong, Chi Man ^a  

^a UNIVERSITY OF MACAU   (Macao)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Biodiesel; Engine modeling; Engine optimization; Engine performance; Machine learning

Indexed keywords

BIODIESEL; ENGINES; FUEL ECONOMY; LEARNING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); SIMULATED ANNEALING; SUPPORT VECTOR MACHINES;

ELM (EXTREME LEARNING MACHINE); ENGINE MODELING; ENGINE OPTIMIZATION; ENGINE PERFORMANCE; LEAST SQUARES SUPPORT VECTOR MACHINES; MACHINE LEARNING TECHNIQUES; PSO(PARTICLE SWARM OPTIMIZATION); RADIAL BASIS FUNCTION NEURAL NETWORKS;

METADATA;

ARTIFICIAL NEURAL NETWORK; BIOFUEL; DIESEL ENGINE; FUEL CONSUMPTION; LEAST SQUARES METHOD; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; TRANSFORMATION;

EID: 84878630549     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2013.03.057     Document Type: Article

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