Control and soft sensing strategies for a wastewater treatment plant using a neuro-genetic approach

During the last years, machine learning-based control and optimization systems are playing an important role in the operation of wastewater treatment plants in terms of reduced operational costs and improved effluent quality. In this paper, a machine learning-based control strategy is proposed for o...

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Bibliographic Details
Main Author: Fernandez de Canete, J. (author)
Other Authors: del Saz-Orozco, P. (author), Gómez-de-Gabriel, J. (author), Baratti, R. (author), Ruano, Antonio (author), Rivas-Blanco, I. (author)
Format: article
Language:eng
Published: 2021
Subjects:
Neural networks
Activated sludge process
Genetic algorithms
Soft-sensing
Optimized control
Online Access:http://hdl.handle.net/10400.1/14968
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/14968

Internet

http://hdl.handle.net/10400.1/14968

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