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Method for predicting concentration of chlorophyll a in water body based on harmony searching of cloud model

A concentration prediction, chlorophyll technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as slow convergence speed and falling into local optimum.

Inactive Publication Date: 2016-05-04
JIANGXI UNIV OF SCI & TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The present invention mainly solves the technical problems existing in the prior art; aiming at the shortcomings that the traditional harmony search algorithm tends to have slow convergence speed and fall into local optimum when optimizing the values ​​of SVM parameters C, g and ε, a cloud-based Method for Predicting Chlorophyll-a Concentration in Water Body Based on Model Harmony Search

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  • Method for predicting concentration of chlorophyll a in water body based on harmony searching of cloud model
  • Method for predicting concentration of chlorophyll a in water body based on harmony searching of cloud model
  • Method for predicting concentration of chlorophyll a in water body based on harmony searching of cloud model

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Embodiment

[0058] Step 1, determine the area that needs to predict the concentration of chlorophyll a in the water body, collect water samples in this area for ND=50 consecutive days, detect the concentration of chlorophyll a in the collected water samples every day, and the water quality indicators associated with chlorophyll a: ammonia nitrogen, total nitrogen , total phosphorus, orthophosphate, permanganate index, nitrate nitrogen, water temperature, dissolved oxygen, pH value, five-day biochemical oxygen demand, and the detected water quality indicators as a sample data set;

[0059] Step 2, normalize the collected water quality index sample data set, set the first 70% as the training data set of the support vector machine, and set the last 30% as the test data set;

[0060] Step 3, the user initializes the prediction span days AN=2, the harmony library size Popsize=50, the memory library learning rate HMCR=0.95, the pitch adjustment rate PAR=0.6, and the maximum evaluation times MAX_...

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Abstract

The invention discloses a method for predicting the concentration of chlorophyll a in a water body based on harmony searching of a cloud model. The concentration of chlorophyll a in the water body is predicted by utilizing a support vector machine (SVM); a penalty factor C and a radial basis kernel parameter g of the SVM and a parameter epsilon in a non-sensitive loss function are coded into individuals of a harmony searching algorithm; a tone adjustment strategy based on cloud model sampling is designed; a new individual is generated by utilizing a forward and normal cloud generator; in addition, local searching is carried out by utilizing a chaos searching strategy; the local searching capability of the algorithm is enhanced; and, compared with the similar methods, the predication precision of the concentration of the chlorophyll a in the water body can be increased through the method disclosed by the invention.

Description

technical field [0001] The invention relates to the field of water body chlorophyll a concentration prediction, in particular to a water body chlorophyll a concentration prediction method based on cloud model and acoustic search. Background technique [0002] The concentration of chlorophyll-a in water is closely related to the quality of water environment in oceans, lakes and reservoirs, and the prediction of chlorophyll-a concentration in water has important practical significance for controlling eutrophication and algae biomass. However, the change process of chlorophyll-a concentration in water is an extremely complex physical, chemical and biological process, and it is difficult for traditional water quality mathematical models to accurately and effectively describe the change law of chlorophyll-a concentration in water. [0003] In view of the shortcomings of traditional water quality mathematical models in predicting the concentration of chlorophyll a in water bodies,...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06K9/62
CPCG16Z99/00G06F18/2411
Inventor 郭肇禄岳雪芝杨火根刘小生董姗燕叶坤涛
Owner JIANGXI UNIV OF SCI & TECH
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