Predicting performance of grey and neural network in industrial effluent using online monitoring parameters
- 29 February 2008
- journal article
- research article
- Published by Elsevier BV in Process Biochemistry
- Vol. 43 (2), 199-205
- https://doi.org/10.1016/j.procbio.2007.10.003
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Grey and neural network prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluentComputers & Chemical Engineering, 2007
- Modeling nitrite and nitrate variations in A2O process under different return oxic mixed liquid using an extended modelProcess Biochemistry, 2007
- Evaluation of artificial neural networks for modelling and optimization of medium composition with a genetic algorithmProcess Biochemistry, 2006
- An artificial neural network analysis of porcine pancreas lipase catalysed esterification of anthranilic acid with methanolProcess Biochemistry, 2005
- New tool for evaluation of performance of wastewater treatment plant: Artificial neural networkProcess Biochemistry, 2005
- Optimization of culture parameters for extracellular protease production from a newly isolated Pseudomonas sp. using response surface and artificial neural network modelsProcess Biochemistry, 2004
- Simulation of an industrial wastewater treatment plant using artificial neural networksComputers & Chemical Engineering, 2000
- Use of fuzzy neural-net model for rule generation of activated sludge processProcess Biochemistry, 1999
- Real-Time Water Treatment Process Control with Artificial Neural NetworksJournal of Environmental Engineering, 1999
- Dynamic modelling of the activated sludge process: Improving prediction using neural networksWater Research, 1995