Prediction of sulphur removal with Acidithiobacillus sp. using artificial neural networks

Ecological Modelling

Volumn 190, Issue 1-2, 2006, Pages 223-230

  Acharya, C ^a   Mohanty, S ^a   Sukla, L B ^a   Misra, V N ^a  

^a CSIR INSTITUTE OF MINERALS AND MATERIALS TECHNOLOGY   (India)

Author keywords

Acidithiobacillus; Coal; Neural network; Prediction; Sulphur

Indexed keywords

BACTERIA; COAL; COMPOSITION; FORECASTING; IRON COMPOUNDS; MATHEMATICAL MODELS; NEURAL NETWORKS; PH EFFECTS;

ACIDITHIOBACILLUS; DATA SETS; FERROOXIDANS; MEAN ABSOLUTE DEVIATIONS; MODEL ESTIMATIONS;

SULFUR;

ARTIFICIAL NEURAL NETWORK; COAL; EXTRACTION; MICROBIAL ACTIVITY; PREDICTION; SULFUR;

ACIDITHIOBACILLUS; ACIDITHIOBACILLUS FERROOXIDANS;

EID: 27844550324     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.02.021     Document Type: Article

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