Open AccessPredictive Modeling of the Syngas Production from Methane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches
Author(s) -
Furkan Elmaz,
Özgün Yücel,
Ali Yener Mutlu
Publication year - 2019
Publication title -
international journal of advances in engineering and pure sciences
Language(s) - Turkish
Resource type - Journals
ISSN - 2636-8277
DOI - 10.7240/jeps.558373
Subject(s) - syngas , overfitting , carbon dioxide reforming , methane , methane reformer , process engineering , process (computing) , production (economics) , computer science , machine learning , steam reforming , engineering , hydrogen production , artificial neural network , catalysis , chemistry , biochemistry , organic chemistry , economics , macroeconomics , operating system
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