Contribution to optimize decision parameters in activated-sludge process using ANFIS model (original) (raw)
Use of fuzzy neural-net model for rule generation of activated sludge process
Rajeshwar Tyagi
Process Biochemistry, 1999
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Published by Yıldız Technical University Press, İstanbul, Türkiye, 2022
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osman ucuncu, Hussein Y.H. Alnajjar
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System identification and real-time pattern recognition by neural networks for an activated sludge process
Manel Poch
1995
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Effects of phase vector and history extension on prediction power of adaptive-network based fuzzy inference system (ANFIS) model for a real scale anaerobic wastewater treatment plant operating under unsteady state
Serdar S . Çelebi
Bioresource Technology, 2009
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KSOM and MLP neural networks for on-line estimating the efficiency of an activated sludge process
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Chemical Engineering Journal, 2006
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Improvement of Artificial Neural Network Model for the Prediction of Wastewater Treatment Plant Performance
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Fuzzy model and decision of COD control for an activated sludge process
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Fuzzy Sets and Systems, 1998
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Sludge Bulking Prediction Using Principle Component Regression and Artificial Neural Network
inchio lou
Mathematical Problems in Engineering, 2012
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Adaptive Network Based Fuzzy Interference System (ANFIS) Modeling of an Anaerobic Wastewater Treatment Process
P Mullai
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Chemical Engineering …, 2008
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Qualitative evaluation of wastewater treatment plant performance by a neural network model optimized by genetic algorithm
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Proceedings of 5th International Electronic Conference on Water Sciences, 2020
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A Fuzzy Neural Network Model for the Estimation of the Feeding Rate to an Anaerobic Waste Water Treatment Process
Nikola Kasabov, Professor
1998
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Sensors, 2020
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Optimal Parameter Estimation in Activated Sludge Process Based Wastewater Treatment Practice
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Water, 2020
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Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach
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Procedia Computer Science, 2011
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Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach
Ali Kamarkhani
Process Safety and Environmental Protection, 2015
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