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.
CN102073797AInactive Publication Date: 2011-05-25JIANGNAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGNAN UNIV
Publication Date
2011-05-25
Estimated Expiration
Not applicable · inactive patent
Patent Text Reader

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.
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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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