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Analysis of selective CO oxidation over promoted Pt/Al2O3 catalysts using modular neural networks: Combining preparation and operational variables

Paper ID Volume ID Publish Year Pages File Format Full-Text
42356 45921 2010 7 PDF Available
Title
Analysis of selective CO oxidation over promoted Pt/Al2O3 catalysts using modular neural networks: Combining preparation and operational variables
Abstract

In this work, modular neural network modeling was applied to analyze the experimental data for the selective CO oxidation over promoted Pt/Al2O3 catalysts. The effects of preparation (Pt wt.% and promoter type) and operational (reaction temperature, feed composition and time on stream) variables on CO conversion were modeled. As a novel approach to neural network modeling of the catalytic performance, the preparation and the operational variables were used together but processed differently in the network so that the accuracy of the model could be improved since the nature of these two variables are quite different although they are both important. Similarly, the continuous (like Pt wt.%) and categorical (like promoter type) variables were also treated in different manner. After the most successful network structure was determined, the relative importances of the preparation and the operational variables as well as their effects on CO conversion were analyzed in detail. It was found that modular neural networks used this way are quite successful in predicting and explaining the experimental results, and they are superior to the monolithic neural network models.

Graphical abstractThe effects of preparation (Pt wt.%, promoter type) and operational (reaction temperature, feed composition, time on stream) variables on CO conversion were modeled by using modular neural networks for the selective CO oxidation over promoted Pt/Al2O3 catalysts. As a novel approach to modeling of the catalytic performance, the preparation and the operational variables were processed differently to improve the accuracy of the model.Figure optionsDownload full-size imageDownload high-quality image (84 K)Download as PowerPoint slide

Keywords
Selective CO oxidation; Promoted Pt/Al2O3; Catalyst modeling; Partially connected neural networks; Modular neural networks
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Publisher
Database: Elsevier - ScienceDirect
Journal: Applied Catalysis A: General - Volume 377, Issues 1–2, 1 April 2010, Pages 174–180
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Catalysis
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us