Neural network models for biological waste-gas treatment systems

New Biotechnology

Volumn 29, Issue 1, 2011, Pages 56-73

  Rene, Eldon R ^a   Estefania Lopez M ^a   Veiga, María C ^a   Kennes, Christian ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AVERAGE SENSITIVITIES; BACK PROPAGATION NEURAL NETWORKS; CONTINUOUS STIRRED TANK BIOREACTORS; EMPTY BED RESIDENCE TIME; EXPERIMENTAL DATA; GAS FLOWRATE; GASPHASE; INPUT PARAMETER; MODERATE CONCENTRATION; NEURAL NETWORK MODEL; OPERATING REGIMES; REGRESSION COEFFICIENT; REMOVAL EFFICIENCIES; STYRENE REMOVAL; TEST DATA; TRAINING AND TESTING; TREATMENT SYSTEMS;

BIOCONVERSION; BIOFILTRATION; BIOLOGICAL SYSTEMS; BIOREACTORS; GASES; NETWORK LAYERS; PRESSURE DROP; RIVER POLLUTION; SENSITIVITY ANALYSIS; STATISTICAL TESTS; STYRENE; WASTE TREATMENT;

NEURAL NETWORKS;

STYRENE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOFILTER; BIOREACTOR; DATA BASE; MODEL; PRIORITY JOURNAL; SPOROTHRIX; SPOROTHRIX VARIECIBATUS; WASTE GAS MANAGEMENT;

AIR POLLUTANTS; AIR POLLUTION; BIODEGRADATION, ENVIRONMENTAL; BIOREACTORS; FILTRATION; GASES; HUMANS; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SPOROTHRIX;

FUNGI; SPOROTHRIX;

EID: 82755182829     PISSN: 18716784     EISSN: 18764347     Source Type: Journal    
DOI: 10.1016/j.nbt.2011.07.001     Document Type: Article

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