Application of Resilient Back-Propagation Neural Networks for Generating a Universal Pressure Drop Model in Pipelines
This study aims at generating and validating a universal pressure drop model at pipelines under three phase flow conditions. There is a pressing need for estimating the pressure drop in pipeline systems using a simple procedure that would eliminate the tedious and yet the non accurate and cumberso...
| Main Authors: | Ayoub, Mohammed A. Ayoub, Demiral, Birol M. Demiral |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.10572 / |
| Published: |
UNIVERSITY of KHARTOUM
2011
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| Subjects: | |
| Online Access: |
http://eprints.utp.edu.my/10572/1/115-408-1-PB.pdf http://ejournals.uofk.edu http://eprints.utp.edu.my/10572/ |
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