Hybrid neural network modeling and particle swarm optimization for improved ethanol production from cashew apple juice
A hybrid neural model (HNM) and particle swarm optimization (PSO) was used to optimize ethanol production by a flocculating yeast, grown on cashew apple juice. HNM was obtained by combining artificial neural network (ANN), which predicted reaction specific rates, to mass balance equations for substr...
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Veröffentlicht in: | Bioprocess and biosystems engineering 2021-02, Vol.44 (2), p.329-342 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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