Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches
Yıl: 2020 Cilt: 32 Sayı: 1 Sayfa Aralığı: 8 - 14 Metin Dili: İngilizce DOI: 10.7240/jeps.558373 İndeks Tarihi: 22-12-2020
Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches
Öz: Dry reforming of methane is a promising method to reduce the emission of CO2and to use it in various type of Fischer–Tropschsynthesis and production of syngas. In order to obtain desirable products efficiently, the effect of reactants on the products must be known precisely. For this purpose, several studies have published for modeling the dry reforming of methane process withartificial intelligence-based data-driven prediction models. Due to lack of investigating overfitting problem and deficient and/or biased performance evaluations, actual potential of proposed methods have not been revealed for predicting certain outputs of the process. In this paper, we employed three regression methods, i.e., artificial neural networks, support vector machine and polynomial regressiontodevelop prediction models using a dataset with 57 observations. Performance evaluations of the models are performed with 10-fold cross-validation to ensure unbiased results. Proposed methods’ both training and testing performances are separately investigated, further applicability is discussed.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | Elmaz F, Mutlu A, YÜCEL Ö (2020). Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. , 8 - 14. 10.7240/jeps.558373 |
| Chicago | Elmaz Furkan,Mutlu Ali,YÜCEL Özgün Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. (2020): 8 - 14. 10.7240/jeps.558373 |
| MLA | Elmaz Furkan,Mutlu Ali,YÜCEL Özgün Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. , 2020, ss.8 - 14. 10.7240/jeps.558373 |
| AMA | Elmaz F,Mutlu A,YÜCEL Ö Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. . 2020; 8 - 14. 10.7240/jeps.558373 |
| Vancouver | Elmaz F,Mutlu A,YÜCEL Ö Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. . 2020; 8 - 14. 10.7240/jeps.558373 |
| IEEE | Elmaz F,Mutlu A,YÜCEL Ö "Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches." , ss.8 - 14, 2020. 10.7240/jeps.558373 |
| ISNAD | Elmaz, Furkan vd. "Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches". (2020), 8-14. https://doi.org/10.7240/jeps.558373 |
| APA | Elmaz F, Mutlu A, YÜCEL Ö (2020). Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. International journal of advances in engineering and pure sciences (Online), 32(1), 8 - 14. 10.7240/jeps.558373 |
| Chicago | Elmaz Furkan,Mutlu Ali,YÜCEL Özgün Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. International journal of advances in engineering and pure sciences (Online) 32, no.1 (2020): 8 - 14. 10.7240/jeps.558373 |
| MLA | Elmaz Furkan,Mutlu Ali,YÜCEL Özgün Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. International journal of advances in engineering and pure sciences (Online), vol.32, no.1, 2020, ss.8 - 14. 10.7240/jeps.558373 |
| AMA | Elmaz F,Mutlu A,YÜCEL Ö Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. International journal of advances in engineering and pure sciences (Online). 2020; 32(1): 8 - 14. 10.7240/jeps.558373 |
| Vancouver | Elmaz F,Mutlu A,YÜCEL Ö Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches. International journal of advances in engineering and pure sciences (Online). 2020; 32(1): 8 - 14. 10.7240/jeps.558373 |
| IEEE | Elmaz F,Mutlu A,YÜCEL Ö "Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches." International journal of advances in engineering and pure sciences (Online), 32, ss.8 - 14, 2020. 10.7240/jeps.558373 |
| ISNAD | Elmaz, Furkan vd. "Predictive Modeling of the Syngas Production fromMethane Dry Reforming over Cobalt Catalyst with Statistical and Machine Learning Based Approaches". International journal of advances in engineering and pure sciences (Online) 32/1 (2020), 8-14. https://doi.org/10.7240/jeps.558373 |
