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Applied Biochemistry and Biotechnology

, Volume 77, Issue 1–3, pp 277–291 | Cite as

A hybrid neural model of ethanol production by Zymomonas mobilis

  • Anderson W. Silva da HenriquesEmail author
  • Aline C. da Costa
  • Tito L. M. Alves
  • Enrique L. Lima
Article

Abstract

A hybrid neural model was developed for the alcoholic fermentation by Zymomonas mobilis. This model is composed by the mass-balance equations of the process and neural networks, which describe the kinetic rates. Strategies that combines scarce experimental data with approximate models of the process were used to generate new data for the training of the networks, minimizing the number of experiments required. The proposed hybrid neural methodology uses all the information avail able about the process to deal with the difficulties in the development of the model.

Index Entries

Alcoholic fermentation Zymomonas mobilis hybrid modeling functional link networks 

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Copyright information

© Humana Press Inc. 1999

Authors and Affiliations

  • Anderson W. Silva da Henriques
    • 1
    Email author
  • Aline C. da Costa
    • 1
  • Tito L. M. Alves
    • 1
  • Enrique L. Lima
    • 1
  1. 1.PEQ/COPPE/UFRJ-CxRio de JaneiroBrazil

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