Comparative Appraisal of Response Surface Methodology and Artificial Neural Network Method for Stabilized Turbulent Confined Jet Diffusion Flames Using Bluff-Body Burners

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ISSN Print: 2331-4222
ISSN Online: 2331-4249
www.scirp.org/journal/wjet
E-mail: wjet@scirp.org

"Comparative Appraisal of Response Surface Methodology and Artificial Neural Network Method for Stabilized Turbulent Confined Jet Diffusion Flames Using Bluff-Body Burners"
written by Tahani S. Gendy, Salwa A. Ghoneim, Amal S. Zakhary,
published by World Journal of Engineering and Technology, Vol.8 No.1, 2020

has been cited by the following article(s):

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[2]	Comparative Investigation of n-Hexane and Ethanol Solvents Used in Eleais guinesis Kernel Oil Extraction and Optimization via Two Computational Modelling
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[3]	Modeling and Optimization of Phosphate Solubilizing Bacteria Isolated from Rhizospheric Soils of the Coffee Plant using Artificial Neural Network (ANN) and …
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[4]	Optimizing the process parameters to maximize biogas yield from anaerobic co-digestion of alkali-treated corn stover and poultry manure using artificial neural …
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[1]	Comparative Investigation of n-Hexane and Ethanol Solvents Used in Eleais guinesis Kernel Oil Extraction and Optimization via Two Computational Modelling Turkish Journal of Agricultural Engineering Research, 2022 DOI:10.46592/turkager.1004551

[2]	Optimization of soluble phosphate and IAA production using response surface methodology and ANN approach Heliyon, 2022 DOI:10.1016/j.heliyon.2022.e12224

[3]	Optimization of soluble phosphate and IAA production using response surface methodology and ANN approach Heliyon, 2022 DOI:10.1016/j.heliyon.2022.e12224

[4]	Comparative Investigation of n-Hexane and Ethanol Solvents Used in Eleais guinesis Kernel Oil Extraction and Optimization via Two Computational Modelling Turkish Journal of Agricultural Engineering Research, 2022 DOI:10.46592/turkager.1004551

[5]	Optimization of soluble phosphate and IAA production using response surface methodology and ANN approach Heliyon, 2022 DOI:10.1016/j.heliyon.2022.e12224

[6]	Optimizing the process parameters to maximize biogas yield from anaerobic co-digestion of alkali-treated corn stover and poultry manure using artificial neural network and response surface methodology Biomass Conversion and Biorefinery, 2021 DOI:10.1007/s13399-021-01966-0

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