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Analysis method for identifying main influence factors on water qualities of rivers flowing into Tai Lake on basis of PSO (Particle Swarm Optimization) and SVM (Support Vector Machine) hybrid algorithm

A technology of influencing factors and analysis methods, applied in the direction of calculation, special data processing applications, instruments, etc., can solve problems that have not been seen, do not consider the correlation of factors, and cannot accurately determine the main factors that affect water quality.

Inactive Publication Date: 2011-05-25
JIANGNAN UNIV
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Problems solved by technology

However, this method does not consider the correlation between factors
Therefore, neither method can accurately determine the main factors affecting water quality
[0004] The hybrid algorithm of PSO and SVM has been used in face recognition, oil layer recognition, financial crisis warning, etc. However, there is no research on the hybrid algorithm of PSO and SVM used to identify the main factors affecting water quality in literature and patents

Method used

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Embodiment Construction

[0050] Based on the monitoring data of nearly a thousand factors affecting the water quality of more than a dozen rivers flowing into Taihu Lake, the processing is carried out, and 24, 21, 18, 15, 12, 9 and 6 factors are respectively used as feature vectors, and the parameters are optimized by using the PSO algorithm , to build a classifier for predicting water pollution.

[0051] 24 factors for ammonia nitrogen (NH 3 -N), total nitrogen (TN), permanganate index (COD Mn ), total phosphorus (TP), petroleum, cadmium (Cd), lead (Pb), arsenic (As), dissolved oxygen (DO), water temperature, mercury (Hg), selenium (Se), pH value, total copper ( Cu), fluoride (F 一 ), sulfide, conductivity, 5-day biochemical oxygen demand (BOD 5 ), chemical oxygen demand (COD), total zinc (Zn), volatile phenol, cyanide (TCN), hexavalent chromium (Cr), anionic surfactant (LAS).

[0052]

[0053] feature

[0054] The correlation between the influencing factor set and the water quality is...

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Abstract

The invention discloses an analysis method for identifying main influence factors on water qualities of rivers flowing into the Tai Lake on the basis of a PSO (Particle Swarm Optimization) and SVM (Support Vector Machine) hybrid algorithm and belongs to the technical field of water quality monitoring. In the method, a PSO algorithm is combined with an SVM algorithm; the PSO algorithm is used for optimizing parameters c and g of the SVM algorithm so as to rapidly and efficiently determine global optimums of the c and the g; and based on the optimized c and g, the SVM algorithm predicts different water qualities by using masses of influence factors influencing the water qualities as eigenvectors and identifies and determines the main influence factors on the water qualities of the rivers flowing into the Tai Lake through the predictive rate. By the method, the main influence factors can be accurately identified from various influence factors influencing the water qualities so as to provide beneficial proofs for monitoring early-warning of the water qualities of the rivers.

Description

technical field [0001] The invention relates to an analysis method for identifying main influencing factors of the water quality of rivers flowing into the Taihu Lake based on a mixed algorithm of PSO and SVM, and belongs to the technical field of water quality monitoring. Specifically, PSO is used to optimize the parameters of SVM to quickly and accurately identify the main factors affecting water quality. This method has a wide range of applications in the fields of biological information identification, image processing, and medical diagnosis. Background technique [0002] In recent years, with the increase of population and rapid economic growth, the water environment has been continuously polluted. There are many factors affecting water quality, such as pH value (pH), dissolved oxygen (DO), permanganate index (COD Mn ), chemical oxygen demand (COD ), 5-day biochemical oxygen demand (BOD 5 ), ammonia nitrogen (NH 3 -N), copper (Cu), zinc (Zn), fluoride (F, with F 一...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 丁彦蕊徐国伟孙培冬陈蓓蔡宇杰王文超
Owner JIANGNAN UNIV
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