<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Sewage treatment system is a complicated nonlinear system with multi-variables, chemical reaction, biological process and altered loads, hard to describe mathematically. Thus prediction of the effluent quality parameters of sewage treatment plant has being a challenge. In this paper we adopt fusion of two BP networks to predict sewage quality parameters with a popular process Cyclic Activated Sludge System (CASS). We take use of SVM (support vector machine) to classify the input data into two kinds, and train the corresponding BP networks with the two kinds of data. Before using SVM to classify the input data, PCA (principle component analysis) is used to analyze the correlation between sewage quality parameters. Then we predict the value of sewage quality parameters with the fusion results of the two BP networks. Test results of the case study show that fusion of BP networks not only can improve the stability of BP networks but also can improve the prediction accuracy</p>
</abstract>

Sewage treatment system is a complicated nonlinear system with multi-variables, chemical reaction, biological process and altered loads, hard to describe mathematically. Thus prediction of the effluent quality parameters of sewage treatment plant has being a challenge. In this paper we adopt fusion of two BP networks to predict sewage quality parameters with a popular process Cyclic Activated Sludge System (CASS). We take use of SVM (support vector machine) to classify the input data into two kinds, and train the corresponding BP networks with the two kinds of data. Before using SVM to classify the input data, PCA (principle component analysis) is used to analyze the correlation between sewage quality parameters. Then we predict the value of sewage quality parameters with the fusion results of the two BP networks. Test results of the case study show that fusion of BP networks not only can improve the stability of BP networks but also can improve the prediction accuracy

Prediction Of Sewage Quality Based On Fusion Of Bpnetworks

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Prediction Of Sewage Quality Based On Fusion Of Bpnetworks"}

Sewage treatment system is a complicated nonlinear system with multi-variables, chemical reaction, biological process and altered loads, hard to describe...

Prediction Of Sewage Quality Based On Fusion Of Bpnetworks

Data publikacji: 01 cze 2016

Zakres stron: 909 - 926

Otrzymano: 14 gru 2016

Przyjęty: 01 sty 2016

DOI: https://doi.org/10.21307/ijssis-2017-901

Słowa kluczowe
sewage quality parameters, BP networks, SVM, fusion

© 2016 Lijuan Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Prediction Of Sewage Quality Based On Fusion Of Bpnetworks

Data publikacji: 01 cze 2016

Zakres stron: 909 - 926

Otrzymano: 14 gru 2016

Przyjęty: 01 sty 2016

DOI: https://doi.org/10.21307/ijssis-2017-901

Słowa kluczowesewage quality parameters, BP networks, SVM, fusion

© 2016 Lijuan Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
sewage quality parameters, BP networks, SVM, fusion