Prediction of extrusion pressure using an artificial neural network

Abstract A three layer feed-forward artificial neutral network (ANN) model was used for the description of extrusion pressure. The studies employ experimental data obtained from capillary flow experiments using a paste containing 5A zeolite, bentonite and water. On comparing the experimental data, the predictions using the Benbow–Bridgwater equation and the ANN model predictions, it is found that the ANN model is capable of predicting the extrusion pressure well. The neural network model shows how the significant parameters influencing extrusion pressure can be found.

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