Predicting octane numbers for gasoline blends using artificial neural networks
The ANN models were more accurate than regression models
IP: 18.97.14.91
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The Authors
Pranghooshi, E. - Iran University of Science and Technology, Narmak, Tehran, Iran
Sadeghi, M. T. - Iran University of Science and Technology, Narmak, Tehran, Iran
Shafiei, S. - Sahand Univerity of Technology, Tabriz, Iran
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Construction Boxscore: Project Spotlight
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Long Son Petrochemicals Complex
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Cost:
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Capacity:
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