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Desalination and Water Treatment Volume 57, 2016 - Issue 8
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Seasonal artificial neural network model for water quality prediction via a clustering analysis method in a wastewater treatment plant of China

Ying ZhaoSchool of Municipal and Environmental Engineering, Harbin Institute of Technology, 150090Harbin, China, Tel. +86 045186283109;State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 150090Harbin, ChinaCorrespondence[email protected]
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Liang GuoSchool of Municipal and Environmental Engineering, Harbin Institute of Technology, 150090Harbin, China, Tel. +86 045186283109;State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, 150090Harbin, ChinaCorrespondence[email protected]
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Junbo LiangSchool of Astronautics, Harbin Institute of Technology, 150090Harbin, China, Tel. +86 18545001274Correspondence[email protected]
&
Min ZhangCollege of Civil and Architectural Engineering, Heilongjiang Institute of Technology, 150050Harbin, China, Tel. +86 18045105095Correspondence[email protected]
Pages 3452-3465 | Received 19 Dec 2013, Accepted 04 Nov 2014, Published online: 01 Dec 2014

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Liang Guo, Ying Zhao & Fu-yi Cui. (2016) A new fault diagnosis method based on Bayesian network model in a wastewater treatment plant of northern China. Desalination and Water Treatment 57:44, pages 20774-20783.
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Marina Salim Dantas, Cristiano Christofaro & Sílvia Corrêa Oliveira. (2023) Artificial neural networks for performance prediction of full-scale wastewater treatment plants: a systematic review. Water Science & Technology.
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Luis Fabián Fuentes-Cortés, Antonio Flores-Tlacuahuac & Krishna D. P. Nigam. (2022) Machine Learning Algorithms Used in PSE Environments: A Didactic Approach and Critical Perspective. Industrial & Engineering Chemistry Research 61:25, pages 8932-8962.
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Abhijeet Das. (2022) Multivariate statistical approach for the assessment of water quality of Mahanadi basin, Odisha. Materials Today: Proceedings 65, pages A1-A11.
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Dongsheng Wang, Xiao Chang & Kaiwei Ma. (2021) Predicting flocculant dosage in the drinking water treatment process using Elman neural network. Environmental Science and Pollution Research 29:5, pages 7014-7024.
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Yuchen Zhang, Jie Yang, Mingzhi Huang & Hongbin Liu. (2021) Neighborhood component analysis for modeling papermaking wastewater treatment processes. Bioprocess and Biosystems Engineering 44:11, pages 2345-2359.
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Waidah Ismail, Naghmeh Niknejad, Mahadi Bahari, Rimuljo Hendradi, Nurzi Juana Mohd Zaizi & Mohd Zamani Zulkifli. (2021) Water treatment and artificial intelligence techniques: a systematic literature review research. Environmental Science and Pollution Research 30:28, pages 71794-71812.
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Mridusmita Debnath, Arup Kumar Sarma & Chandan Mahanta. 2021. Water and Energy Management in India. Water and Energy Management in India 127 139 .
Kashifa Iqbal, Shamshad Ahmad & Venkatesh Dutta. (2019) Pollution mapping in the urban segment of a tropical river: is water quality index (WQI) enough for a nutrient-polluted river?. Applied Water Science 9:8.
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Jakub Drewnowski. (2019) Advanced Supervisory Control System Implemented at Full-Scale WWTP—A Case Study of Optimization and Energy Balance Improvement. Water 11:6, pages 1218.
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Yong Qiu, Ji Li, Xia Huang & Hanchang Shi. (2018) A Feasible Data-Driven Mining System to Optimize Wastewater Treatment Process Design and Operation. Water 10:10, pages 1342.
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Tingting Yu & Yun Bai. (2018) Comparative Study of Optimization Intelligent Models in Wastewater Quality Prediction. Comparative Study of Optimization Intelligent Models in Wastewater Quality Prediction.
Chang Juan, Wang Genxu, Mao Tianxu & Sun Xiangyang. (2017) ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China. Advances in Meteorology 2017, pages 1-13.
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