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...

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Bibliographic Details
Main Authors: Precious Chukwuweike Eze, Cornelius Mduduzi Masuku
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:South African Journal of Chemical Engineering
Online Access:http://www.sciencedirect.com/science/article/pii/S1026918518300611

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