A neural network for breakthrough prediction in packed bed adsorption

A single hidden layer back propagation neural network has been used to predict the occurrence of breakthrough in an ion-exchange adsorption column using signals derived from a thermal monitoring system. After training the neural network was capable of a complete prediction of breakthrough. This is in contrast with the mechanistic models used to date, which all show significant deviations in one or more regions of the breakthrough response.