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Seawater quality evaluation method

An evaluation method and water quality technology, which can be applied in neural learning methods, testing water, material inspection products, etc., and can solve problems such as rough evaluation results.

Inactive Publication Date: 2020-07-14
邵泽东
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for seawater quality evaluation, which has the characteristics of accurate evaluation results and solves the problems of rough evaluation results of traditional seawater quality evaluation methods.

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[0019] specific implementation plan

[0020] Sea water quality evaluation method of the present invention comprises two working phases: brainstorm optimization process and neural network calculation process, each phase step is as follows:

[0021] A. Brainstorm Optimization Process

[0022] Brainstorming optimization parameters include the initial number of individuals n, the number of population categories m, the maximum number of iterations iteration, the slope adjustment parameter K of random disturbance, and the initial solution dimension D, and determine the values ​​​​of the four probabilities of Pa, Pb, Pc, and Pd, which are used to Choose different individual update methods to control and realize the iterative update of individuals. a. Randomly select a class, and add random perturbation to the class center to generate a new individual; b. Randomly select a class, randomly select an individual in the selected class, and add random perturbation to generate a new indiv...

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Abstract

The invention discloses a seawater quality evaluation method. The method comprises: obtaining a brain storm optimization initial value, BP neural network optimization value matching and optimization result verification. Obtaining a brainstorm optimization initial value adopts a brainstorm algorithm in a swarm intelligence optimization algorithm to solve the problem of complex and difficult calculation of a weight value and a threshold value of the BP neural network. BP neural network optimization value matching and optimization result verification are carried out, the optimized BP neural network is adopted to construct a seawater quality evaluation model, historical case data is used to train the model, and when a prediction error is within an allowable range or network training reaches the maximum iteration frequency, training is ended. Prediction result analysis is performed, the trained model is used to evaluate the seawater quality, the root-mean-square error of the evaluation result is smaller than the evaluation result of the traditional BP neural network before optimization, and the evaluation precision is higher. The invention can provide a new solution for seawater qualityevaluation.

Description

technical field [0001] The invention relates to the technical field of seawater quality monitoring, in particular to a method for evaluating seawater quality. Background technique [0002] With the continuous development of the marine economy, the marine environment is under increasing pressure. The basis of seawater quality evaluation is to comprehensively evaluate the water quality level based on the value of seawater quality indicators to determine the main pollution problems in the evaluated waters and provide a basis for environmental management and decision-making in coastal waters. [0003] Environmental workers at home and abroad have researched and developed many evaluation methods, such as single index method, fuzzy comprehensive evaluation method, fuzzy clustering method, gray clustering method, etc. The ocean water body is a comprehensive system with a large number of nonlinear and non-stationary problems. Pollution is affected by many factors, and there is a co...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/08G01N33/18
CPCG06N3/084G01N33/18G06F18/23213
Inventor 邵泽东李海涛
Owner 邵泽东
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