Estimating the Relative Tray Efficiency of Sieve Distillation Trays by Applying Artificial Neural Networks

X. You and Z. S. Yang

Abstract
Artificial Neural Network (ANN) is applied to estimate the relative tray efficiency of sieve distillation trays. The training database is obtained from the results of You et al. (2001).1 The feed-forward artificial neural network is adopted and trained by the back-propagation algorithm. 150 sets of data is used to train and test the network. The results show that ANN model with one hidden layer gives a very close estimation of the relative tray efficiency.

This work is licensed under a Creative Commons Attribution 4.0 International License

Keywords
Relative tray efficiency, artificial neural network (ANN), back-propagation (BP) algorithm