A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full-Scale Anaerobic Wastewater Treatment Process
المؤلفون المشاركون
Huang, Mingzhi
Huang, Zehua
Wu, Renren
Yi, XiaoHui
Liu, Hongbin
Cai, Jiannan
Niu, Guoqiang
Ying, Guangguo
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-26
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1131233
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر