Constructing the Model of Propylene Distillation Based on Neural Networks

The model of propylene distillation helps improve the quality of propylene products. This paper proposes a methodology of constructing the model of propylene distillation based on the neural network technique. The strategy of adjusting the neural network-based model of propylene distillation with rough sets is proposed. A numerical example of the neural network-based model for actual propylene distillation is provided. A comparison is made between the predicted results from the model and the actual results, which validates the effectiveness of the model of propylene distillation.