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Details for article 1 of 8 found articles
| Title: |
Artificial neural network model with the parameter tuning assisted by a differential evolution technique: the study of the hold up of the slurry flow in a pipeline |
| Author: |
S. K. Lahiri K. C. Ghanta |
| Appeared in: |
Chemical Industry & Chemical Engineering Quarterly |
| Paging: | Volume 15 (2009) nr. 2 pages 103-117 |
| Year: |
2009 |
| Contents: |
This paper describes a robust hybrid artificial neural network (ANN) methodology which can offer a superior performance for the important process engineering problems. The method incorporates a hybrid artificial neural network and differential evolution technique (ANN-DE) for the efficient tuning of ANN meta parameters. The algorithm has been applied for the prediction of the hold up of the solid liquid slurry flow. A comparison with selected correlations in the literature showed that the developed ANN correlation noticeably improved the prediction of hold up over a wide range of operating conditions, physical properties, and pipe diameters. |
| Publisher: |
Association of the Chemical Engineers (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 1 of 8 found articles
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