Predicting Sooting Propensity of Oxygenated Fuels Using Artificial Neural Networks
The self-learning capabilities of artificial neural networks (ANNs) from large datasets have led to their deployment in the prediction of various physical and chemical phenomena. In the present work, an ANN model was developed to predict the yield sooting index (<i>YSI</i>) of oxygenated...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Processes |
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| Online Access: | https://www.mdpi.com/2227-9717/9/6/1070 |