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Neural Network Modelling of Fermentation Taking into Account Culture Memory

  • P. Koprinkova
  • M. Petrova
  • T. Patarinska

Abstract

In the present paper the problem of chemostat modelling using the neural networks is considered. Two kinds of neural network models taking into account the culture memory are proposed. The first one is a feedforward neural network with time delayed feedback connections from and to the output neurons. The second one is a feedforward neural network with time delayed feedback connections from the input neurons describing only the specific growth rate. The obtained neural network model is adopted in the classical nonlinear model. Simulation investigations and comparison of the both models are carried out. The interpretation of the parameters according to their biological means is made.

Keywords

Specific Growth Rate Neural Network Model Time Instant Output Neuron Feedforward Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • P. Koprinkova
    • 1
  • M. Petrova
    • 1
  • T. Patarinska
    • 1
  1. 1.Institute of Control and System ResearchBulgarian Academy of SciencesSofiaBulgaria

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