Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks

Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks

This paper describes the derivation and design of an array of self-organizing networks trained by inductive learning for one step ahead prediction of the outputs of the pre-precipitation stage of a wastewater treatment plant with a view to model predictive control of the stage

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Bibliographische Detailangaben
Hauptverfasser: Isaias, P., Nilsson, S., Stathaki, A., King, R.E.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Chemicals
Effluents
Instruments
Machine learning
Mathematical model
Neural networks
Predictive control
Predictive models
Self-organizing networks
Wastewater treatment
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Beschreibung
Zusammenfassung:This paper describes the derivation and design of an array of self-organizing networks trained by inductive learning for one step ahead prediction of the outputs of the pre-precipitation stage of a wastewater treatment plant with a view to model predictive control of the stage
ISSN:2158-9860
2158-9879
DOI:10.1109/.2005.1467139