Neural Networks as a Tool for Gray Box Modelling in Reactive Distillation

  • Authors:

  • Kai Dadhe;Volker Roßmann;Kazim Durmus;Sebastian Engell

  • Affiliations:

  • -;-;-;-

  • Venue:
  • Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
  • Year:
  • 2001

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Abstract

In this paper we discuss the use of neural networks as a tool for gray box modelling of the reactive distillation column. The basic idea is to replace certain correlations for the calculation of physical properties by neural networks. Different architectures as radial basis function networks and feedforward networks are compared and their approximation abilities are demonstrated.