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  • Title: Neural network designs for poly-beta-hydroxybutyrate production optimization under simulated industrial conditions.
    Author: Patnaik PR.
    Journal: Biotechnol Lett; 2005 Mar; 27(6):409-15. PubMed ID: 15834806.
    Abstract:
    Improvement of the fermentation efficiency of poly-beta-hydroxybutyrate (PHB) may make it competitive with chemically synthesized petroleum-based polymers. One step toward this is optimization of fluid dispersion and the feed rates to a fed-batch bioreactor. In a recent study using a fermentation model, dispersion corresponding to a Peclet number of approximately 20 was shown to maximize the productivity of PHB. Here further improvement has been investigated using neural optimization. A comparison of seven neural topologies has shown that while feed-forward and radial basis neural networks are computationally efficient, recurrent networks generate higher concentrations of PHB. All networks enhanced the productivity by 16-93% over model-based optimization.
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