A fuzzy neural network model for monitoring A2/O process using on-line monitoring parameters
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Yan Wang | Mingzhi Huang | Yongwen Ma | J. Wan | Yan Wang | Kang Hu | Jin Q Wan | Yong W Ma | Ming Z Huang | K. Hu
[1] Awwa,et al. Standard Methods for the examination of water and wastewater , 1999 .
[2] M. Syu,et al. A study on the sedimentation model and neural network online adaptive control of a benzoic acid imitated wastewater oxidation process , 2003 .
[3] Tzu-Yi Pai,et al. Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and influent quality , 2011 .
[4] Ieroham S. Baruch,et al. Adaptive recurrent neural network control of biological wastewater treatment , 2005, Int. J. Intell. Syst..
[5] S Arulselvi,et al. Experiments and ANFIS modelling for the biodegradation of penicillin-G wastewater using anaerobic hybrid reactor. , 2011, Bioresource technology.
[6] Pawinee Chaiprasert,et al. Neural-fuzzy control system application for monitoring process response and control of anaerobic hybrid reactor in wastewater treatment and biogas production. , 2010, Journal of environmental sciences.
[7] A. E. Greenberg,et al. Standard methods for the examination of water and wastewater : supplement to the sixteenth edition , 1988 .
[8] Dünyamin Güçlü,et al. Amelioration of Carbon Removal Prediction for an Activated Sludge Process using an Artificial Neural Network (ANN) , 2008 .
[9] Yan Wan,et al. A fast predicting neural fuzzy model for on-line estimation of nutrient dynamics in an anoxic/oxic process. , 2010, Bioresource technology.
[10] N. B. Chang,et al. Assessing wastewater reclamation potential by neural network model , 2003 .
[11] Yueh-Min Huang,et al. A blog article recommendation generating mechanism using an SBACPSO algorithm , 2009, Expert Syst. Appl..
[12] Han-Qing Yu,et al. Estimating the kinetic parameters of activated sludge storage using weighted non-linear least-squares and accelerating genetic algorithm. , 2009, Water Research.
[13] Performance evaluation of a modified anaerobic/anoxic/oxic (A2/O) process treating low strength wastewater. , 2009 .
[14] Aysegul Aksoy,et al. Modeling of the activated sludge process by using artificial neural networks with automated architecture screening , 2008, Comput. Chem. Eng..
[15] Yan Wang,et al. Prediction of effluent quality of a paper mill wastewater treatment using an adaptive network-based fuzzy inference system , 2011, Appl. Soft Comput..
[16] C. Y. Lin,et al. Grey and neural network prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluent , 2007, Comput. Chem. Eng..
[17] Sever Arslan,et al. Evaluation of Input Variables in Adaptive-Network-Based Fuzzy Inference System Modeling for an Anaerobic Wastewater Treatment Plant under Unsteady State , 2007 .
[18] M. Tamer Ayvaz,et al. Simultaneous determination of aquifer parameters and zone structures with fuzzy c-means clustering and meta-heuristic harmony search algorithm , 2007 .
[19] José S. Torrecilla,et al. Field determination of phenolic compounds in olive oil mill wastewater by artificial neural network , 2008 .
[20] Wang Yan,et al. Control rules of aeration in a submerged biofilm wastewater treatment process using fuzzy neural networks , 2009, Expert Syst. Appl..
[21] Yoon-Seok Hong,et al. Evolutionary self-organising modelling of a municipal wastewater treatment plant. , 2003, Water research.
[22] Mingzhi Huang,et al. Monitoring of Anoxic/Oxic Process for Nitrogen and Chemical Oxygen Demand Removal Using Fuzzy Neural Networks , 2009, Water environment research : a research publication of the Water Environment Federation.
[23] Kun Soo Chang,et al. Hybrid neural network modeling of a full-scale industrial wastewater treatment process. , 2002, Biotechnology and bioengineering.
[24] Ashwani Kumar Thukral,et al. RSM and ANN modeling for electrocoagulation of copper from simulated wastewater: Multi objective optimization using genetic algorithm approach , 2011 .
[25] In-Beum Lee,et al. Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants. , 2003, Journal of biotechnology.
[26] K. Arun Kumar,et al. Simulation of biodegradation process in a fluidized bed bioreactor using genetic algorithm trained feedforward neural network , 2009 .
[27] Jan-Tai Kuo,et al. A hybrid neural-genetic algorithm for reservoir water quality management. , 2006, Water research.
[28] S C Wang,et al. Improving neural network prediction of effluent from biological wastewater treatment plant of industrial park using fuzzy learning approach , 2009, Bioprocess and biosystems engineering.
[29] Maged M. Hamed,et al. Prediction of wastewater treatment plant performance using artificial neural networks , 2004, Environ. Model. Softw..
[30] Jian Zhang,et al. Methane emissions from a full-scale A/A/O wastewater treatment plant. , 2011, Bioresource technology.
[31] Daniel W Smith,et al. A neural network model to predict the wastewater inflow incorporating rainfall events. , 2002, Water research.