Artificial Neural Network modeling of a hydrogen dual fueled diesel engine characteristics: An experiment approach

International Journal of Hydrogen Energy

Volumn 42, Issue 21, 2017, Pages 14750-14774

  Syed, Javed ^a   Baig, Rahmath Ulla ^b   Algarni, Salem ^a   Murthy, Y V V Satyanarayana ^c   Masood, Mohammad ^d   Inamurrahman, Mohammed ^a  

^a KING KHALID UNIVERSITY   (Saudi Arabia)

^b PES UNIVERSITY   (India)

^c GITAM UNIVERSITY   (India)

^d Lords Institute of Engineering Technology   (India)

Author keywords

Artificial Neural Network; Diesel engine; Emission performance trade off; Hydrogen fuel; Performance emission characteristics; Uncertainty analysis

Indexed keywords

BACKPROPAGATION; DIESEL ENGINES; ECONOMIC AND SOCIAL EFFECTS; HYDROGEN; HYDROGEN FUELS; NEURAL NETWORKS; UNCERTAINTY ANALYSIS;

ARTIFICIAL NEURAL NETWORK MODELING; ARTIFICIAL NEURAL NETWORK MODELS; EMISSION CHARACTERISTICS; PERFORMANCE AND EMISSIONS; PERFORMANCE TRADE-OFF; QUALITATIVE EXPERIMENTS; REGRESSION COEFFICIENT; VEHICULAR POLLUTIONS;

DUAL FUEL ENGINES;

EID: 85019460786     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2017.04.096     Document Type: Article

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