Filtrated Artificial Neural Network (ANN) Approach to Predict the Mechanical behavior of Polystyrene Reinforced with Bakelite

Issam S. Jalham

Abstract


The aim of this paper is to investigate the effect of the addition of different percentages of Bakelite to Polystyrene on its mechanical behavior and the capability of the artificial neural network (ANN) to predict this behavior. Unlike other approaches, the filtration of data took place by using ANN before coming to the final model. The results showed that the higher the Bakelite content of polystyrene, the higher the strength is. The filtrated ANN is a good tool to predict the deformation behavior of Polystyrene reinforced with Bakelite.

Keywords


Modeling, Artificial Neural Network, Polystyrene, Bakelite, Filtration.

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