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A hybrid statistical approach for modeling and optimization of RON: A comparative study and combined application of response surface methodology (RSM) and artificial neural network (ANN) based on design of experiment (DOE)

Article ID Journal Published Year Pages File Type
7006400 Chemical Engineering Research and Design 2016 30 Pages PDF
Keywords
Research Octane Number (RON)Response surface methodology (RSM)Catalytic naphtha reformingArtificial neural network (ANN)Central composite design (CCD)
Related Topics
Physical Sciences and Engineering Chemical Engineering Filtration and Separation
Preview
A hybrid statistical approach for modeling and optimization of RON: A comparative study and combined application of response surface methodology (RSM) and artificial neural network (ANN) based on design of experiment (DOE)
Authors
F.M. Elfghi,
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Journal
Chemical Engineering Research and Design
Journal: Chemical Engineering Research and Design
Related Categories
Research Octane Number (RON)
Response surface methodology (RSM)
Catalytic naphtha reforming
Artificial neural network (ANN)
Central composite design (CCD)
Bioengineering
Catalysis
Chemical Engineering (General)
Chemical Health and Safety
Colloid and Surface Chemistry
Filtration and Separation
Fluid Flow and Transfer Processes
Process Chemistry and Technology
Related Journals
Journal of Water Process Engineering
Desalination
Filtration + Separation
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Separation and Purification Technology
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