Artificial Neural Networks for On-line Optimisation of Biotechnological Processes

Authors

  • Karin Kovar
  • Axel Kunze
  • Stefan Gehlen

DOI:

https://doi.org/10.2533/chimia.1999.533

Abstract

Since artificial neural networks represent a commercially attractive tool for process modelling and optimisation, some examples of their use in biotechnology are briefly reviewed. Models based on neural networks can be successfully applied for the optimisation of industrial fermentation processes, as long as the reliability of the network outputs is taken into account. Special network types provide a statistical measure that indicates the particular reliability of the estimation.

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Published

1999-11-24

Issue

Section

Scientific Articles