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...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/614/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-57949108485&partnerID=40&md5=93721787b4e81cc982e23cb5f67aa270 http://eprints.utp.edu.my/614/ |
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