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Multilayer perceptron prediction for the production of methyl acetate via reactive distillation
Joint Authors
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 24, Issue 4 (31 Dec. 2016)8 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
In this paper, it was given a profile for the design of reactive distillation to produce methyl acetate from acetic acid and methanol in the presence of sulfuric acid as catalyst.
The conversion of the reaction was studied as function to time, reflux ratio and feed mole ratio and predicted using Multilayer Perceptron through SPSS software 21.
The result shows that using ANN will reduce the Squares Error to 0.262 and the Relative Error to 12.1%.
American Psychological Association (APA)
Rushdi, Salih A.& Mahdi, Taha. 2016. Multilayer perceptron prediction for the production of methyl acetate via reactive distillation. Journal of University of Babylon for Engineering Sciences،Vol. 24, no. 4.
https://search.emarefa.net/detail/BIM-930739
Modern Language Association (MLA)
Rushdi, Salih A.& Mahdi, Taha. Multilayer perceptron prediction for the production of methyl acetate via reactive distillation. Journal of University of Babylon for Engineering Sciences Vol. 24, no. 4 (2016).
https://search.emarefa.net/detail/BIM-930739
American Medical Association (AMA)
Rushdi, Salih A.& Mahdi, Taha. Multilayer perceptron prediction for the production of methyl acetate via reactive distillation. Journal of University of Babylon for Engineering Sciences. 2016. Vol. 24, no. 4.
https://search.emarefa.net/detail/BIM-930739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-930739