Predicting the oxidant demand in full-scale drinking water treatment using an artificial neural network: Uncertainty and sensitivity analysis

Process Safety and Environmental Protection ◽

10.1016/j.psep.2019.03.017 ◽

2019 ◽

Vol 125 ◽

pp. 317-327 ◽

Author(s):

Lluís Godo-Pla ◽

Pere Emiliano ◽

Fernando Valero ◽

Manel Poch ◽

Gürkan Sin ◽

...

Keyword(s):

Neural Network ◽

Sensitivity Analysis ◽

Artificial Neural Network ◽

Drinking Water ◽

Water Treatment ◽

Drinking Water Treatment ◽

Uncertainty And Sensitivity Analysis ◽

Artificial Neural

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Integrating water quality and operation into prediction of water production in drinking water treatment plants by genetic algorithm enhanced artificial neural network

Water Research ◽

10.1016/j.watres.2019.114888 ◽

2019 ◽

Vol 164 ◽

pp. 114888 ◽

Author(s):

Yanyang Zhang ◽

Xiang Gao ◽

Kate Smith ◽

Goulven Inial ◽

Shuming Liu ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Water Quality ◽

Artificial Neural Network ◽

Drinking Water ◽

Water Treatment ◽

Drinking Water Treatment ◽

Water Production ◽

Water Treatment Plants ◽

Artificial Neural

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Classification and calibration of organic matter fluorescence data with multiway analysis methods and artificial neural networks: an operational tool for improved drinking water treatment

Environmetrics ◽

10.1002/env.1045 ◽

2010 ◽

Vol 22 (3) ◽

pp. 256-270 ◽

Author(s):

Magdalena Bieroza ◽

Andy Baker ◽

John Bridgeman

Keyword(s):

Neural Networks ◽

Drinking Water ◽

Organic Matter ◽

Artificial Neural Networks ◽

Water Treatment ◽

Drinking Water Treatment ◽

Analysis Methods ◽

Artificial Neural ◽

Operational Tool

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Natural organic matter removal in a full-scale drinking water treatment plant using ClO2 oxidation: Performance of two virgin granular activated carbons

Journal of Water Process Engineering ◽

10.1016/j.jwpe.2021.102001 ◽

2021 ◽

Vol 41 ◽

pp. 102001

Author(s):

Outi Kaarela ◽

Markus Koppanen ◽

Tero Kesti ◽

Riitta Kettunen ◽

Marja Palmroth ◽

...

Keyword(s):

Drinking Water ◽

Organic Matter ◽

Water Treatment ◽

Natural Organic Matter ◽

Activated Carbons ◽

Treatment Plant ◽

Drinking Water Treatment ◽

Water Treatment Plant ◽

Oxidation Performance

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Full-Scale Application of Catalytic Ozonation for Drinking Water Treatment: Case Study in China

Journal of Environmental Engineering ◽

10.1061/(asce)ee.1943-7870.0000735 ◽

2014 ◽

Vol 140 (9) ◽

Author(s):

Zheng-Qian Liu ◽

Bang-Jun Han ◽

Gang Wen ◽

Jun Ma ◽

Sheng-Jun Wang ◽

...

Keyword(s):

Drinking Water ◽

Water Treatment ◽

Drinking Water Treatment ◽

Catalytic Ozonation ◽

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Prediction of annual drinking water quality reduction based on Groundwater Resource Index using the artificial neural network and fuzzy clustering

Journal of Contaminant Hydrology ◽

10.1016/j.jconhyd.2018.10.010 ◽

2019 ◽

Vol 220 ◽

pp. 6-17 ◽

Author(s):

S. Azimi ◽

M. Azhdary Moghaddam ◽

S.A. Hashemi Monfared

Keyword(s):

Neural Network ◽

Water Quality ◽

Artificial Neural Network ◽

Drinking Water ◽

Fuzzy Clustering ◽

Drinking Water Quality ◽

Groundwater Resource ◽

Resource Index ◽

Artificial Neural

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Characterization of bacterial community dynamics in a full-scale drinking water treatment plant

Journal of Environmental Sciences ◽

10.1016/j.jes.2016.05.042 ◽

2017 ◽

Vol 51 ◽

pp. 21-30 ◽

Author(s):

Cuiping Li ◽

Fangqiong Ling ◽

Minglu Zhang ◽

Wen-Tso Liu ◽

Yuxian Li ◽

...

Keyword(s):

Drinking Water ◽

Water Treatment ◽

Bacterial Community ◽

Community Dynamics ◽

Treatment Plant ◽

Drinking Water Treatment ◽

Water Treatment Plant ◽

Bacterial Community Dynamics

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Improvement in Estimating Durations for Building Projects Using Artificial Neural Network and Sensitivity Analysis

Journal of Construction Engineering and Management ◽

10.1061/(asce)co.1943-7862.0002036 ◽

2021 ◽

Vol 147 (7) ◽

Author(s):

Su-Ling Fan ◽

I-Cheng Yeh ◽

Wei-Sheng Chi

Keyword(s):

Neural Network ◽

Sensitivity Analysis ◽

Artificial Neural Network ◽

Building Projects ◽

Artificial Neural

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Prediction of the optimal dosage of coagulants in water treatment plants through developing models based on artificial neural network fuzzy inference system (ANFIS)

Journal of Environmental Health Science and Engineering ◽

10.1007/s40201-021-00710-0 ◽

2021 ◽

Author(s):

Shakeri Narges ◽

Asgari Ghorban ◽

Khotanlou Hassan ◽

Khazaei Mohammad

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Water Treatment ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Optimal Dosage ◽

Inference System ◽

Water Treatment Plants ◽

Artificial Neural

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Artificial neural network metamodel for sensitivity analysis in a total hip replacement health economic model

Expert Review of Pharmacoeconomics & Outcomes Research ◽

10.1080/14737167.2019.1665512 ◽

2019 ◽

Vol 20 (6) ◽

pp. 629-640 ◽

Author(s):

M Fasihul Alam ◽

Andrew Briggs

Keyword(s):

Neural Network ◽

Health Economic ◽

Sensitivity Analysis ◽

Artificial Neural Network ◽

Total Hip Replacement ◽

Economic Model ◽

Hip Replacement ◽

Total Hip ◽

Health Economic Model ◽

Artificial Neural

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Antibiotic Resistome Alteration by Different Disinfection Strategies in a Full-Scale Drinking Water Treatment Plant Deciphered by Metagenomic Assembly

Environmental Science & Technology ◽

10.1021/acs.est.8b05907 ◽

2019 ◽

Vol 53 (4) ◽

pp. 2141-2150 ◽

Author(s):

Huaicheng Zhang ◽

Fangyu Chang ◽

Peng Shi ◽

Lin Ye ◽

Qing Zhou ◽

...

Keyword(s):

Drinking Water ◽

Water Treatment ◽

Treatment Plant ◽

Drinking Water Treatment ◽

Water Treatment Plant ◽

Drinking Water Treatment Plant ◽

Metagenomic Assembly

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