Self-organizing modeling of biotechnological batch and fed-batch fermentations

by

Bettenhausen, K., D. and Marenbach, P.

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Info: EUROSIM'95 (Conference proceedings), 1995
Keywords:genetic algorithms, genetic programming, fermentation, biotechnology
Abstract:
An approach for the automatic generation of dynamic nonlinear process models obtained from experimantal process data and theoretical biological and chemical reflections using genetic programming [GP] for the supervision and coordination of the symbolic model structure during automatic development BioX++ includes (amongs fuzzy rule learning, expert system, [ES] NN also refered to) GP to produce process models, constants adapted using standard algorithmic techniques.
Notes:
11--15 September, Vienna, Austria
URL(s):(G)zipped postscript

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BibTex:
@InProceedings{bettenhausen:1995:sombbff,
  author =       "K. D. Bettenhausen and P. Marenbach",
  title =        "Self-organizing modeling of biotechnological batch and
                 fed-batch fermentations",
  booktitle =    "EUROSIM'95",
  year =         "1995",
  editor =       "F. Breitenecker and I. Husinsky",
  publisher =    "Elsevier",
  email =        "kurt.dirk.bettenhausen@rt.e-technik.tu-darmstadt.de
                 (Kurt Dirk Bettenhausen),
                 mali@rt.e-technik.tu-darmstadt.de",
  keywords =     "genetic algorithms, genetic programming, fermentation,
                 biotechnology",
  URL =          "http://www.rt.e-technik.tu-darmstadt.de/~mali/GP/rst_95_23.ps.gz",
  size =         "5 pages",
  abstract =     "An approach for the automatic generation of dynamic
                 nonlinear process models obtained from experimantal
                 process data and theoretical biological and chemical
                 reflections using genetic programming for the
                 supervision and coordination of the symbolic model
                 structure during automatic development

                 BioX++ includes (amongs fuzzy rule learning, expert
                 system, NN also refered to) GP to produce process
                 models, constants adapted using standard algorithmic
                 techniques.",
  notes =        "11--15 September, Vienna, Austria",
}