Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach

M Bagheri, SA Mirbagheri, Z Bagheri… - Process Safety and …, 2015 - Elsevier
Prediction of sludge bulking is a matter of growing importance around the world. Sludge
volume index (SVI) should be monitored to predict sludge bulking for a wastewater treatment …

Sludge bulking prediction using principle component regression and artificial neural network

I Lou, Y Zhao - Mathematical Problems in Engineering, 2012 - Wiley Online Library
Sludge bulking is the most common solids settling problem in wastewater treatment plants,
which is caused by the excessive growth of filamentous bacteria extending outside the flocs …

Prediction of activated sludge bulking based on a self-organizing RBF neural network

HG Han, JF Qiao - Journal of Process Control, 2012 - Elsevier
Despite extensive research that has been done on sludge bulking, it remains a widespread
problem in the operation of activated sludge processes, which brings severe economic and …

Prediction of filamentous sludge bulking using a state-based Gaussian processes regression model

Y Liu, J Guo, Q Wang, D Huang - Scientific reports, 2016 - nature.com
Activated sludge process has been widely adopted to remove pollutants in wastewater
treatment plants (WWTPs). However, stable operation of activated sludge process is often …

A soft computing method to predict sludge volume index based on a recurrent self-organizing neural network

HG Han, Y Li, YN Guo, JF Qiao - Applied Soft Computing, 2016 - Elsevier
In this paper, a soft computing method, based on a recurrent self-organizing neural network
(RSONN) is proposed for predicting the sludge volume index (SVI) in the wastewater …

Decision tree for identification and prediction of filamentous bulking at full-scale activated sludge wastewater treatment plant

N Deepnarain, M Nasr, S Kumari, TA Stenström… - Process Safety and …, 2019 - Elsevier
This study attempted to model sludge bulking in a full-scale wastewater treatment plant
operated as a 3-stage Phoredox process. Principal component analysis and a regression …

Sludge bulking analysis and forecasting: application of system identification and artificial neural computing technologies

AG Capodaglio, HV Jones, V Novotny, X Feng - Water Research, 1991 - Elsevier
The phenomenon of sludge bulking plays a major role in the treatment efficiency
performance of activated sludge wastewater treatment plants. Sludge bulking has been …

Modeling of the activated sludge process by using artificial neural networks with automated architecture screening

H Moral, A Aksoy, CF Gokcay - Computers & Chemical Engineering, 2008 - Elsevier
In this study, a MATLAB script was developed to aid in the development of artificial neural
network (ANN) models by screening out the better ANN architectures for the cases studied …

Hierarchical neural network modeling approach to predict sludge volume index of wastewater treatment process

H Han, J Qiao - IEEE Transactions on Control Systems …, 2013 - ieeexplore.ieee.org
From a practical-theoretic viewpoint, there is a need to develop rigorous design and analysis
tools for the control, fault diagnosis, and security of wastewater quality. However, sludge …

Analysis of Machine Learning Models for Wastewater Treatment Plant Sludge Output Prediction

S Shao, D Fu, T Yang, H Mu, Q Gao, Y Zhang - Sustainability, 2023 - mdpi.com
With China's significant investment in wastewater treatment plants, urban sewage is
effectively collected and treated, resulting in a substantial byproduct—sludge. As of 2021, a …