A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process
Joint Authors
Huang, Mingzhi
Huang, Zehua
Wu, Renren
Yi, XiaoHui
Liu, Hongbin
Cai, Jiannan
Niu, Guoqiang
Ying, Guangguo
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The anaerobic treatment process is a complicated multivariable system that is nonlinear and time varying.
Moreover, biogas production rates are an important indicator for reflecting operational performance of the anaerobic treatment system.
In this work, a novel model fuzzy wavelet neural network based on the genetic algorithm (GA-FWNN) that combines the advantages of the genetic algorithm, fuzzy logic, neural network, and wavelet transform was established for prediction of effluent quality and biogas production rates in a full-scale anaerobic wastewater treatment process.
Moreover, the dataset was preprocessed via a self-adapted fuzzy c-means clustering before training the network and a hybrid algorithm for acquiring the optimal parameters of the multiscale GA-FWNN for improving the network precision.
The analysis results indicate that the FWNN with the optimal algorithm had a high speed of convergence and good quality of prediction, and the FWNN model was more advantageous than the traditional intelligent coupling models (NN, WNN, and FNN) in prediction accuracy and robustness.
The determination coefficients R2 of the FWNN models for predicting both the effluent quality and biogas production rates were over 0.95.
The proposed model can be used for analyzing both biogas (methane) production rates and effluent quality over the operational time period, which plays an important role in saving energy and eliminating pollutant discharge in the wastewater treatment system.
American Psychological Association (APA)
Huang, Zehua& Wu, Renren& Yi, XiaoHui& Liu, Hongbin& Cai, Jiannan& Niu, Guoqiang…[et al.]. 2019. A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process. Complexity،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1131233
Modern Language Association (MLA)
Huang, Zehua…[et al.]. A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process. Complexity No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1131233
American Medical Association (AMA)
Huang, Zehua& Wu, Renren& Yi, XiaoHui& Liu, Hongbin& Cai, Jiannan& Niu, Guoqiang…[et al.]. A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process. Complexity. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1131233
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131233