Title :
Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks
Author :
Isaias, Padelis ; Nilsson, Sara ; Stathaki, Anna ; King, Robert E.
Author_Institution :
Data & Knowledge Eng. Group, Comput. Res. Inst., Athens
Abstract :
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
Keywords :
chemical variables control; control system synthesis; learning (artificial intelligence); predictive control; self-adjusting systems; wastewater treatment; inductive learning; one step ahead prediction; predictive control; self-organizing networks; wastewater preprecipitation variable prediction; wastewater treatment plant; Chemicals; Effluents; Instruments; Machine learning; Mathematical model; Neural networks; Predictive control; Predictive models; Self-organizing networks; Wastewater treatment;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467139
