Modeling heat exchanger using neural networks
Tools to predict the effects caused by frequent changes in the feedstock and in the operating condition in crude preheat train (CPT) in a refinery are essential to maintain optimal operating conditions in the heat exchanger. Currently, no such tools are used in industries. In this paper, an approach...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/614/ http://scholars.utp.edu.my/id/eprint/614/1/paper.pdf |