Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

M Bagheri, SA Mirbagheri, M Ehteshami… - Process Safety and …, 2015 - Elsevier
A sequencing batch reactor was modeled using multi-layer perceptron and radial basis
function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent …

Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function …

SA Mirbagheri, M Bagheri, S Boudaghpour… - … of Environmental Health …, 2015 - Springer
Abstract Treatment process models are efficient tools to assure proper operation and better
control of wastewater treatment systems. The current research was an effort to evaluate …

Prediction of effluent quality in ICEAS-sequential batch reactor using feedforward artificial neural network

N Khatri, KK Khatri, A Sharma - Water science and technology, 2019 - iwaponline.com
It is highly essential that municipal wastewater is treated before its discharge and reuse in
order to meet the standard requirements for safe marine life and for farming and industries. It …

Artificial neural network modeling for biological removal of organic carbon and nitrogen from slaughterhouse wastewater in a sequencing batch reactor

P Kundu, A Debsarkar… - Advances in Artificial …, 2013 - Wiley Online Library
The present paper deals with treatment of slaughterhouse wastewater by conducting a
laboratory scale sequencing batch reactor (SBR) with different input characterized samples …

Artificial neural network modelling of a large-scale wastewater treatment plant operation

D Güçlü, Ş Dursun - Bioprocess and biosystems engineering, 2010 - Springer
Abstract Artificial Neural Networks (ANNs), a method of artificial intelligence method, provide
effective predictive models for complex processes. Three independent ANN models trained …

Artificial neural network (ANN) approach to modelling of selected nitrogen forms removal from oily wastewater in anaerobic and aerobic GSBR process phases

P Ofman, J Struk-Sokołowska - Water, 2019 - mdpi.com
Paper presents artificial neural network models (ANN) approximating concentration of
selected nitrogen forms in wastewater after sequence batch reactor operating with aerobic …

[PDF][PDF] Comparison study between sequencing batch reactor and conventional activated sludge by using simulation mathematical model

AM Abdel Kader - Thirteenth International Water Technology Conference, 2009 - Citeseer
The sequencing batch reactor (SBR) is a specific fill and draw version of the conventional
activated sludge (AS) process. In contrast to continuous flow systems, the sequencing of …

Study on the efficiency of sequential batch reactor (SBR)-based sewage treatment plant

U Showkat, IA Najar - Applied Water Science, 2019 - Springer
The present study was carried out to evaluate the performance of 16.1 MLD sewage
treatment plant (STP) located at Brari Nambal (J&K), India. The STP is based on sequential …

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 …

[PDF][PDF] Artificial Neural Network Predictions of Up-Flow Anaerobic Sludge Blanket (UASB) Reactor Performance in the Treatment of Citrus Juice Wastewater.

M Elnekave, SO Celik, M Tatlier, N Tufekci - Polish Journal of …, 2012 - pjoes.com
The operation of a full-scale up-flow anaerobic sludge blanket (UASB) reactor treating citrus
juice wastewater was observed for two years. The average total chemical oxygen demand …