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Immobilized Cell Biofilter: Results of Performance and Neural Modeling Strategies for NH3 Vapor Removal from Waste Gases
Aerosol and Air Quality Research
Artificial neural networks (ANNs) are powerful data-driven modeling tools which have the potential to approximate and interpret complex input/output relationships based on given sets of a data matrix. In this paper, a predictive computerized approach is proposed to predict the performance of an immobilized-cell biofilter treating NH 3 vapors in terms of its removal efficiency (RE) and elimination capacity (EC). The input parameters to the ANN model were inlet concentration, loading rate, flowdoi:10.4209/aaqr.2008.10.0046 fatcat:vwkvdhflpnae3d7vyq76awsdkm