Artificial neural network aided screening and optimization of additives to Co/SrCO3 catalyst for dry reforming of methane under pressure

Energy and Fuels

Volumn 23, Issue 4, 2009, Pages 1931-1935

  Omata, Kohji ^a   Kobayashi, Yasukazu ^a   Yamada, Muneyoshi ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CARBON DEPOSITION; CATALYTIC ACTIVITY; CATALYTIC PERFORMANCE; DRY REFORMING-OF-METHANE; EXPERIMENTAL VERIFICATION; FEED COMPOSITIONS; ND ADDITION; PHYSICOCHEMICAL PROPERTY; RE ADDITIONS; TIME ON STREAMS; TRAINING DATA;

ADDITIVES; CATALYSIS; CATALYST ACTIVITY; MANGANESE; MANGANESE COMPOUNDS; METHANE; NEODYMIUM; NEURAL NETWORKS; NIOBIUM; OPTIMIZATION; SCANDIUM; SILVER; ZINC;

BACKPROPAGATION;

EID: 65449183856     PISSN: 08870624     EISSN: None     Source Type: Journal    
DOI: 10.1021/ef8010004     Document Type: Article

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