Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012

International Journal of Hydrogen Energy

Volumn 39, Issue 11, 2014, Pages 5733-5746

  Odabaşi, Çaǧla ^a   Günay, M Erdem ^b   Yildirim, Ramazan ^a  

^a BOGAZICI UNIVERSITY   (Turkey)

^b ISTANBUL BILGI UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Data mining; Decision trees; Knowledge extraction; Support vector machines; Water gas shift reaction

Indexed keywords

CATALYSTS; CHEMICAL SHIFT; CHEMICALS REMOVAL (WATER TREATMENT); DATA MINING; DECISION TREES; EXTRACTION; FORESTRY; NEURAL NETWORKS; PRECIOUS METALS; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

CATALYST PREPARATION; EXPERIMENTAL CONDITIONS; HIGH CATALYTIC PERFORMANCE; KNOWLEDGE EXTRACTION; NOBLE METAL CATALYSTS; OPERATIONAL VARIABLES; SUPPORT VECTOR MACHINE (SVMS); WATER GAS SHIFT (WGS) REACTION;

WATER GAS SHIFT;

CATALYSTS; DATA PROCESSING; DECISION MAKING; EXTRACTION; NEURAL NETWORKS; REACTION KINETICS; SYNTHESIS;

EID: 84897377213     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2014.01.160     Document Type: Article

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