Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review

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• 作者：Meltem Baysal^a ; M. Erdem Gü ; nay^b ; ^{erdem.gunay@bilgi.edu.tr} ; Ramazan Yıldırım^a
• 关键词：Steam reforming of methane ; Statistical review ; Data mining ; Knowledge extraction ; Decision trees
• 刊名：International Journal of Hydrogen Energy
• 出版年：2017
• 出版时间：5 January 2017
• 年：2017
• 卷：42
• 期：1
• 页码：243-254
• 全文大小：614 K
• 卷排序：42

文摘

A database was constructed for the steam reforming of methane from 81 publications. Database was reviewed by decision trees to extract trends, heuristics, correlations. Decision trees revealed best catalyst/reaction conditions not visible to naked eyes. Seven combinations of input variables were detected leading to high CH4 conversion. Temperature higher than 970 K was always required for Ni based catalysts.