What is it about?
A new method is presented to predict the result of the experimental test using artificial neural network (ANN). The 3 hidden-layer back propagation AAN is trained based on minimum absolute relative error for training data.
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Why is it important?
Present study describes an innovative method for easy and fast prediction of the asphaltene deposition test by use of artificial neural network (ANN). Different ANNs are designed and trained with different solution algorithms to find the best predictor for target samples. The output ANN shows significant accuracy for validation data and conclusively is reliable for prediction unknown values of target samples. Prediction of asphaltene deposition test results, gathered by ANN, is much time and cos
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This page is a summary of: An artificial neural network approach to predict asphaltene deposition test result, Fluid Phase Equilibria, September 2012, Elsevier,
DOI: 10.1016/j.fluid.2012.06.001.
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