Predicting Density, Viscosity,Volume and Temperature for Kerosene and Gas Oil Suplied by Doura Refinery From a Measured Experimental Result as Input Variables to Artificial Neural Network (ANN)
Abstract: This study shows the possibility of predicting specific characteristicsof kerosene and gas oil using experimental measurements as inputs. Variables for programming (ANN) of artificial neuron networks. This study examines fuels from Dora refinery and investigates the relationship between fu...
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| Format: | Article |
| Language: | English |
| Published: |
University of Misan College of Engineering
2025-06-01
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| Series: | Misan Journal of Engineering Sciences |
| Online Access: | https://uomisan.edu.iq/eng/mjes/index.php/eng/article/view/134 |
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