Simulation and optimization of heavy oil cracking (HOC) unit using neural network and genetic algorithm
This research presents an artificial neural network (ANN) model to investigate optimum operating condition of heavy oil catalytic cracking (HOC) to reach maximum gasoline yield. In this case, American petroleum institute index (AP!) , weight percentage of sulfur, Conradson carbon residue content (CC...
| Main Authors: | , |
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| Format: | Monograph |
| Language: | English |
| Published: |
Sustainability
2010
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| Subjects: | |
| Online Access: | http://eprints.utm.my/18628/1/Report77537.pdf |