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Article

Water Quality Evaluation Method Based on a T-S Fuzzy Neural Network—Application in Water Environment Trend Analysis of Taihu Lake Basin

by 1, 1, 2,3,* and 3
1
Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China
2
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A & F University, Yangling 712100, China
3
College of Water Resources and Architecture Engineering, Northwest A & F University, Yangling 712100, China
*
Author to whom correspondence should be addressed.
Academic Editor: George Arhonditsis
Water 2021, 13(21), 3127; https://doi.org/10.3390/w13213127
Received: 24 August 2021 / Revised: 20 October 2021 / Accepted: 30 October 2021 / Published: 5 November 2021
(This article belongs to the Section Water Quality and Contamination)
In response to the problems of large computational volume and tedious computational process of fuzzy integrated evaluation, and general neural network models without clear water quality training criteria, this paper organically combines fuzzy rules, affiliation function, and neural network, and proposes a comprehensive method for the evaluation of water quality based on a T-S fuzzy neural network. On the three water quality monitoring data of six national key monitoring stations in Taihu Lake Basin, three evaluation methods—the one-factor evaluation method, the fuzzy integrated evaluation method, and the T-S fuzzy neural network evaluation method—were used to comprehensively evaluate water environment quality, and the results showed that the T-S fuzzy neural network method has the advantages of convenient calculation, strong applicability, and scientific results. View Full-Text
Keywords: water quality evaluation; fuzzy integrated evaluation method; T-S fuzzy neural network; Taihu Lake Basin water quality evaluation; fuzzy integrated evaluation method; T-S fuzzy neural network; Taihu Lake Basin
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MDPI and ACS Style

Ye, W.; Song, W.; Cui, C.-F.; Wen, J.-H. Water Quality Evaluation Method Based on a T-S Fuzzy Neural Network—Application in Water Environment Trend Analysis of Taihu Lake Basin. Water 2021, 13, 3127. https://doi.org/10.3390/w13213127

AMA Style

Ye W, Song W, Cui C-F, Wen J-H. Water Quality Evaluation Method Based on a T-S Fuzzy Neural Network—Application in Water Environment Trend Analysis of Taihu Lake Basin. Water. 2021; 13(21):3127. https://doi.org/10.3390/w13213127

Chicago/Turabian Style

Ye, Wei, Wei Song, Chen-Feng Cui, and Jia-Hao Wen. 2021. "Water Quality Evaluation Method Based on a T-S Fuzzy Neural Network—Application in Water Environment Trend Analysis of Taihu Lake Basin" Water 13, no. 21: 3127. https://doi.org/10.3390/w13213127

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