Research Output
A fuzzy neural network sensor for fermentation processes
  In this paper computational intelligence has been considered as a tool (software sensor) in state- estimation and prediction of biomass concentration in a fermentation process. An optimised fuzzy system based on genetic algorithm, an artificial neural network and an integration of fuzzy logic and neural network paradigms have been introduced as computational engines. The constructed computational engine ‘infer’ the production of biomass from variables easily measured on-line. The construction and the application of each paradigm are presented and sum of squared errors and graphical fit are used to compare the performance of each structure.

  • Date:

    28 February 1997

  • Publication Status:

    Published

  • DOI:

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence

  • Funders:

    Manchester Metropolitan University

Citation

Â鶹ÉçÇø

Soufian, M., & Soufian, M. (1997). A fuzzy neural network sensor for fermentation processes. In B. Reusch (Ed.), Computational Intelligence Theory and Applications (577-578). https://doi.org/10.1007/3-540-62868-1_169

Authors

Keywords

computational intelligence, software sensor, biomass concentration, fermentation process,

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