Performance evaluation and modelling of an integrated municipal wastewater treatment system using neural networks-Reference-Cited by-同舟云学术

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Performance evaluation and modelling of an integrated municipal wastewater treatment system using neural networks

Published:2020-04 Issue:S1 Volume:34 Page:622-634
ISSN:1747-6585
Container-title:Water and Environment Journal
language:en
Short-container-title:Water Environ. J.

Author:

Mokhtari Habib A.¹,Bagheri Majid²^ORCID,Mirbagheri Sayed Ahmad¹,Akbari Ali³

Affiliation:

1. Faculty of Civil Engineering K.N. Toosi University of Technology Tehran Iran

2. Civil, Architectural and Environmental Engineering Department Missouri University of Science and Technology Rolla MO USA

3. Department of Computer Science Missouri University of Science and Technology Rolla MO USA

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/wej.12565

Reference56 articles.

1. A methodology for sequencing batch reactor identification with artificial neural networks: A case study

2. Performance Evaluation of Moving Bed Bio Film Reactor in Saline Wastewater Treatment

3. An investigation into the effect of MLSS on the effluent quality and sludge settleability in an aerobic-anoxic sequencing batch reactor (AASBR)

4. COD and BOD Reduction of Domestic Wastewater using Activated Sludge, Sand Filters and Activated Carbon in Saudi Arabia

5. Landfill leachate treatment using powdered activated carbon augmented sequencing batch reactor (SBR) process: Optimization by response surface methodology

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