Neural model for the operational control of activated sludge processes

Author:

Tyagi R.D.,Du Y.G.,Sreekrishnan T.R.,Villeneuve J.P.

Publisher

Elsevier BV

Subject

Applied Microbiology and Biotechnology,Biochemistry,Bioengineering

Reference15 articles.

1. Measurements, data analysis and control methods in wastewater treatment plants — state of the art and future trends;Olsson;Wat. Sci. Technol.,1989

2. Organic load control of the activated sludge process based on predicted daily variation of influent load;Masui;Wat. Sci. Technol.,1981

3. Simple control equations using F:M ratio for operation of activated sludge aeration basins;Heddle;Envir. Technol. Lett.,1984

4. Upgrading the activated sludge process through automatic control;Flanagan;AIChE Symposium Series,1978

5. Modelling and control studies of the activated sludge process at Norwich Seawage Works;Beck;Trans. Inst. Meas. Control,1984

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1. Application of artificial neural networks in wastewater treatment;Journal of Environmental Engineering and Science;2004-04-01

2. Model Based Soft-Sensor for On-Line Determination of Substrate;Applied Biochemistry and Biotechnology;2004

3. Model Based Soft-Sensor for On-Line Determination of Substrate;Proceedings of the Twenty-Fifth Symposium on Biotechnology for Fuels and Chemicals Held May 4–7, 2003, in Breckenridge, CO;2004

4. Neural network analysis of the diffusional limitations in activated sludge flocs;Process Biochemistry;1996-11

5. Nonlinear and direction-dependent dynamic process modelling using neural networks;IEE Proceedings - Control Theory and Applications;1996-01-01

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