Neural network prediction of thermophili
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Erkan Sahinkaya; Bestamin Γzkaya; Anna H. Kaksonen; Jaakko A. Puhakka
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Article
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2006
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John Wiley and Sons
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English
β 164 KB
π 1 views
## Abstract The performance of a fluidizedβbed reactor (FBR) based sulfate reducing bioprocess was predicted using artificial neural network (ANN). The FBR was operated at high (65Β°C) temperature and it was fed with iron (40β90 mg/L) and sulfate (1,000β1,500 mg/L) containing acidic (pHβ=β3.5β6) syn