Vapour–liquid equilibrium prediction for synthesis gas conversion using artificial neural networks
Vapour–liquid equilibrium (VLE) modeling is of paramount importance since it affects the efficiency of downstream processing during product recovery in the Fischer–Tropsch synthesis. multi-layer perceptron neural network (MLPNN) was used to simultaneously model VLE of 1533 gas-liquid solubilities di...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-12-01
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| Series: | South African Journal of Chemical Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1026918518300611 |