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

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3127
Author(s):  
Wei Ye ◽  
Wei Song ◽  
Chen-Feng Cui ◽  
Jia-Hao Wen
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Taihu Lake ◽  
Water Environment ◽  
Lake Basin ◽  
Neural Network Models ◽  
Taihu Lake Basin ◽  
Fuzzy Neural

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.

Industrial and agricultural effects on water environment and its optimization in heavily polluted area in Taihu Lake Basin, China

2013 ◽  
Vol 23 (2) ◽  
pp. 203-215 ◽  
Author(s):  
Haixia Zhao ◽  
Bensheng You ◽  
Xuejun Duan ◽  
Stewart Becky ◽  
Xiaowei Jiang
Keyword(s):  
Taihu Lake ◽  
Water Environment ◽  
Polluted Area ◽  
Lake Basin ◽  
Taihu Lake Basin ◽  
Heavily Polluted Area

scholarly journals Optimization of parameters of neuro-fuzzy model

2020 ◽  
Vol 17 (3) ◽  
pp. 1206
Author(s):  
Lyalya Bakievna Khuzyatova ◽  
Lenar Ajratovich Galiullin
Keyword(s):  
Neural Network ◽  
Decision Support ◽  
Decision Support Systems ◽  
Fuzzy Neural Network ◽  
Support Systems ◽  
Fuzzy Model ◽  
Knowledge Bases ◽  
Fuzzy Neural Networks ◽  
Neural Network Models ◽  
Fuzzy Neural

<p>The questions and problems of the formation of knowledge bases of intelligent man-machine decision support systems are considered. The neuron-fuzzy model used in the work is described. The need for increasing the efficiency of the neuron-fuzzy model in the formation of knowledge bases is being updated. The task is to develop methods and algorithms for presetting and optimizing the parameters of a fuzzy neural network. To solve difficult formalized tasks, it is necessary to develop decision support systems - expert systems based on a knowledge base. ES developers are constantly faced with the problems of “extraction” and formalization of knowledge, as well as the search for new ways to obtain it. To do this, use the extraction, acquisition and formation of knowledge. Currently, the formation of knowledge bases is relevant for the creation of hybrid technologies - fuzzy neural networks that combine the advantages of neural network models and fuzzy systems. The analysis of the efficiency of the fuzzy neural network carried out in the work showed that the quality of training of the NN largely depends on the choice of the number of fuzzy granules for input drugs. In addition, to use fuzzy information formalized by the mathematical apparatus of fuzzy logic, procedures are required for selecting optimal forms and presetting the parameters of the corresponding membership functions (MF).</p>

scholarly journals Water Environmental Capacity Calculation and Allocation of the Taihu Lake Basin in Jiangsu Province Based on Control Unit

2019 ◽  
Vol 16 (19) ◽  
pp. 3774 ◽  
Author(s):  
Huang ◽  
Zhang ◽  
Tong
Keyword(s):  
Taihu Lake ◽  
Water Environment ◽  
Control Unit ◽  
Jiangsu Province ◽  
Lake Basin ◽  
Environmental Capacity ◽  
Taihu Lake Basin ◽  
Control Units ◽  
Water Environmental Capacity ◽  
Capacity Calculation

The water quality target management of the control unit is a convenient and direct technology for water environment management and the development direction of water environment management in China, involving control unit division and water environment capacity calculation. Taking the Taihu Lake Basin in Jiangsu Province as an example, we propose herein the basic principle of the division of a regional control unit in a plain river network and the method of analyzing the rationality of the control unit division. On this basis, the Taihu Lake Basin in Jiangsu Province was divided into 70 control units. To calculate the water environmental capacity in the plain river network area, we established a water environmental capacity calculation framework based on multiple targets of lakes and rivers, and proposed the goal of water quality "double compliance" of the water environmental functional zone and the assessment section. For this study, we calculated the regional water environmental capacity using the mathematical model of the Taihu Lake Basin’s water environmental capacity, and the water environmental capacities of the 70 control units were allocated by the weight coefficient method, which established water area and functional division length. The research results described herein were applied to the pollution permit management of the Taihu Lake Basin in Jiangsu Province. It provides important technical support for the establishment of a pollution permit system based on the total capacity to improve environmental quality.

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