Modelling and optimization of syngas production by methane dry reforming over samarium oxide supported cobalt catalyst: response surface methodology and artificial neural networks approach

Response Surface ◽

Cobalt Catalyst ◽

Dry Reforming ◽

Samarium Oxide ◽

Methane Dry Reforming ◽

Syngas Production ◽

Modelling and optimization of syngas production from methane dry reforming over ceria-supported cobalt catalyst using artificial neural networks and Box–Behnken design

Journal of Industrial and Engineering Chemistry ◽

10.1016/j.jiec.2015.08.021 ◽

2015 ◽

Vol 32 ◽

pp. 246-258 ◽

Cited By ~ 44

Author(s):

Bamidele V. Ayodele ◽

Chin Kui Cheng

Keyword(s):

Neural Networks ◽

Cobalt Catalyst ◽

Dry Reforming ◽

Box Behnken Design ◽

Methane Dry Reforming ◽

Syngas Production ◽

Artificial Neural ◽

Modelling and optimization of laser engraving qualitative characteristics of Al-SiC composite using response surface methodology and artificial neural networks

Optics & Laser Technology ◽

10.1016/j.optlastec.2018.10.058 ◽

2019 ◽

Vol 112 ◽

pp. 65-76 ◽

Cited By ~ 15

Author(s):

Mohammad Hosein Rahimi ◽

Mahdi Shayganmanesh ◽

Rassoul Noorossana ◽

Farhad Pazhuheian

Keyword(s):

Neural Networks ◽

Response Surface ◽

Laser Engraving ◽

Artificial Neural ◽

Qualitative Characteristics ◽

Evaluation of extract of Ipomoea batatas leaves as a green coagulant-flocculant for turbid water treatment: Parametric modelling and optimization using response surface methodology and artificial neural networks

Environmental Technology & Innovation ◽

10.1016/j.eti.2021.102005 ◽

2021 ◽

pp. 102005

Author(s):

Heri Septya Kusuma ◽

Andrew Nosakhare Amenaghawon ◽

Handoko Darmokoesoemo ◽

Yantus A.B. Neolaka ◽

Bernadeta Ayu Widyaningrum ◽

...

Keyword(s):

Neural Networks ◽

Water Treatment ◽

Response Surface ◽

Ipomoea Batatas ◽

Parametric Modelling ◽

Turbid Water ◽

Artificial Neural ◽

Modeling and optimization of pectin extraction from banana peel using artificial neural networks (ANNs) and response surface methodology (RSM)

Journal of Food Measurement & Characterization ◽

10.1007/s11694-021-00852-7 ◽

2021 ◽

Author(s):

Ermias Girma Aklilu

Keyword(s):

Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Modeling And Optimization ◽

Optimization of hypochlorous acid generation by HCl electrolysis through response surface methodology and artificial neural networks

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2021.105826 ◽

2021 ◽

pp. 105826

Author(s):

Muhammad Yaqub ◽

Changyeon Woo ◽

Wontae Lee

Keyword(s):

Neural Networks ◽

Response Surface ◽

Hypochlorous Acid ◽

Acid Generation ◽

Simultaneous extraction of polysaccharides and polyphenols from blackcurrant fruits: Comparison between response surface methodology and artificial neural networks

Industrial Crops and Products ◽

10.1016/j.indcrop.2021.113682 ◽

2021 ◽

Vol 170 ◽

pp. 113682

Author(s):

Xueying Bu ◽

Yaqin Xu ◽

Meimei Zhao ◽

Dalong Li ◽

Jiaheng Zou ◽

...

Keyword(s):

Neural Networks ◽

Response Surface ◽

Simultaneous Extraction ◽

Comparative assessment of response surface methodology and artificial neural networks in forecasting biodiesel yield from waste cooking sunflower oil

Materials Today Proceedings ◽

10.1016/j.matpr.2021.02.291 ◽

2021 ◽

Author(s):

B. Devaraj Naik ◽

M. Udayakumar

Keyword(s):

Neural Networks ◽

Response Surface ◽

Sunflower Oil ◽

Comparative Assessment ◽

Photocatalytic oxidation of treated municipal wastewaters for the removal of phenolic compounds: optimization and modeling using response surface methodology (RSM) and artificial neural networks (ANNs)

Journal of Chemical Technology & Biotechnology ◽

10.1002/jctb.3755 ◽

2012 ◽

Vol 87 (10) ◽

pp. 1385-1395 ◽

Cited By ~ 33

Author(s):

Maria Antonopoulou ◽

Vassilios Papadopoulos ◽

Ioannis Konstantinou

Keyword(s):

Neural Networks ◽

Phenolic Compounds ◽

Response Surface ◽

Photocatalytic Oxidation ◽

Artificial Neural ◽

Municipal Wastewaters

Optimizing Wear Behavior of Epoxy Composites Using Response Surface Methodology and Artificial Neural Networks

Polymer Composites ◽

10.1002/pc.25089 ◽

2018 ◽

Vol 40 (7) ◽

pp. 2812-2818

Author(s):

D. Satish Kumar ◽

M. Rajmohan

Keyword(s):

Neural Networks ◽

Response Surface ◽

Wear Behavior ◽

Epoxy Composites ◽

Modeling the Performance of Vortex Tube using Response Surface Methodology and Artificial Neural Networks

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/390/1/012010 ◽

2018 ◽

Vol 390 ◽

pp. 012010 ◽

Cited By ~ 3

Author(s):

G Suresh Kumar ◽

B Veerabhadra Reddy ◽

G Sankaraiah ◽

P Venkateshwar Reddy

Keyword(s):

Neural Networks ◽

Response Surface ◽

Vortex Tube ◽