The BP Network Model for the Control of the Coagulation and the Filter Backwashing System

Xue-nong, YI; Wei, QiuMei; Li, Chen‐Guang

doi:10.1109/icbbe.2008.709

2008 2nd International Conference on Bioinformatics and Biomedical Engineering 2008

DOI: 10.1109/icbbe.2008.709

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The BP Network Model for the Control of the Coagulation and the Filter Backwashing System

YI Xue-nong

QiuMei Wei

Chen‐Guang Li

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2014

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Computational Intelligence Techniques Applied to Coagulant Estimation Models in Water Purification Process

Villarreal Campos,

Caicedo Bravo

2014

Rev.Fac.Ing.Univ.Antioquia

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Four coagulant estimation models in water purification process are presented. For its developing computational intelligence techniques are used, which include neural networks, fuzzy logic (Sugeno and Mamdani type) and ANFIS structures. The methodology described is based on the operator's experience extraction from operational historical data (in neural network, fuzzy logic Sugeno type and ANFIS case), and the linguistic information given by an experimented plant operator (in fuzzy logic Mamdani type case). According to the reached results, by applying some of this models in a control system strategy, could be possible overcome some of the current limitations found in the most widely used techniques for coagulant dosing in water purification plants; jar tests and streaming current detector.

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Computational Intelligence Techniques Applied to Coagulant Estimation Models in Water Purification Process

Villarreal Campos,

Caicedo Bravo

2014

Rev.Fac.Ing.Univ.Antioquia

View full text Add to dashboard Cite

show abstract

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The BP Network Model for the Control of the Coagulation and the Filter Backwashing System

Cited by 1 publication

References 3 publications

Computational Intelligence Techniques Applied to Coagulant Estimation Models in Water Purification Process

Computational Intelligence Techniques Applied to Coagulant Estimation Models in Water Purification Process

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