## 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
β¦ LIBER β¦
Neural network prediction of fluidized bed bioreactor performance for sulfide oxidation
β Scribed by Midha, Varsha; Jha, Mithilesh Kumar; Dey, Apurba
- Book ID
- 120173593
- Publisher
- Springer US
- Year
- 2012
- Tongue
- English
- Weight
- 616 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0256-1115
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