Evaluation of artificial neural network performance in predicting diesel engine Nox emissions

Research Journal of Applied Sciences, Engineering and Technology

Volumn 1, Issue 3, 2009, Pages 125-131

  Obodeh, O ^a   Ajuwa, C I ^a  

^a AMBROSE ALLI UNIVERSITY   (Nigeria)

Author keywords

Artificial neural networks; Capabilities; Multi cylinder diesel engine and NOx emissions

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CAPABILITIES; COMBUSTION KINETICS; DEGREES OF FREEDOM; DIESEL ENGINE TEST; EFFICIENCY IMPROVEMENT; EMISSIONS FORMATION; ENGINE MODELLING; ENGINE MODELS; ENGINE PERFORMANCE; ENGINE SPEED; EXPERIMENTAL DATA; GASOLINE ENGINES; GOVERNING EQUATIONS; HIGH EFFICIENCY; LABORATORY ENVIRONMENT; LABORATORY PROCEDURES; LEARNING CONTROL SYSTEMS; LEARNING RATES; LEVENBERG-MARQUARDT ALGORITHM; LIGHT-DUTY; LM ALGORITHM; MEAN ABSOLUTE PERCENTAGE ERROR; MULTI-CYLINDER DIESEL ENGINE AND NOX EMISSIONS; OPERATING VARIABLES; OXIDES OF NITROGEN; PREDICTIVE TOOLS; TAILPIPE EMISSION;

ADAPTIVE CONTROL SYSTEMS; COMBUSTION; CYLINDERS (SHAPES); DIESEL ENGINES; ENGINES; GLOBAL WARMING; GREENHOUSE GASES; LAGRANGE MULTIPLIERS; LEARNING ALGORITHMS; MACHINE DESIGN; NETWORK PERFORMANCE; NEURAL NETWORKS; SENSITIVITY ANALYSIS;

ENGINE CYLINDERS;

EID: 79953036114     PISSN: 20407459     EISSN: 20407467     Source Type: Journal    
DOI: None     Document Type: Article

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