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Multi-strategy artificial bee colony optimized concentration predication method for dissolved oxygen in water

A technology of artificial bee colony optimization and dissolved oxygen concentration, which is applied in the direction of testing water, artificial life, measuring devices, etc., can solve the problems of low prediction accuracy and slow convergence speed, and achieve the effect of improving prediction accuracy

Active Publication Date: 2016-11-16
JIANGXI UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the shortcomings of the traditional artificial bee colony algorithm in the prediction of water body dissolved oxygen concentration, which is prone to slow convergence speed and low prediction accuracy, and proposes a multi-strategy artificial bee colony optimization water body dissolved oxygen concentration prediction method

Method used

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  • Multi-strategy artificial bee colony optimized concentration predication method for dissolved oxygen in water
  • Multi-strategy artificial bee colony optimized concentration predication method for dissolved oxygen in water
  • Multi-strategy artificial bee colony optimized concentration predication method for dissolved oxygen in water

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Embodiment

[0051] Step 1. Determine the area where the concentration of dissolved oxygen in the water body needs to be predicted, and collect water samples in the determined area for LD=55 consecutive days, and then detect the water quality indicators of the collected water samples: temperature, nitrite, ammonia nitrogen, total nitrogen, nitrate , dissolved oxygen, and the collected water quality index data as a sample data set; then normalize the collected water quality index sample data set, and set the first 70% as the training data set of the support vector machine, and the last 30% set as the test dataset;

[0052] Step 2, the user initializes the forecast span days ND = 2, the population size Popsize = 50, the maximum number of unimproved individuals Limit = 100, and the maximum number of evaluations MAX_FEs = 300000;

[0053] Step 3, the current evolution algebra t=0, the current evaluation times FEs=0, and the number of optimal design parameters of the support vector machine D=3;...

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Abstract

The invention discloses a multi-strategy artificial bee colony optimized concentration predication method for dissolved oxygen in water. A support vector machine serves as a concentration predication model for dissolved oxygen in water, and a penalty factor C, a radical basis kernel parameter g and a parameter epsilon in an insensitive loss function of the support vector machine are subjected to optimal design according to a multi-strategy artificial bee colony algorithm. In the multi-strategy artificial bee colony algorithm, various search strategies are fused, and search strategies are adaptively selected for optimization according to a current evolution state in an optimization process, so that algorithm optimization capacity is improved. By the multi-strategy artificial bee colony optimized concentration predication method for dissolved oxygen in water, precision in concentration predication of dissolved oxygen in water can be improved.

Description

technical field [0001] The invention relates to the field of prediction of dissolved oxygen concentration in water body, in particular to a multi-strategy artificial bee colony optimization method for prediction of dissolved oxygen concentration in water body. Background technique [0002] Dissolved oxygen in water is a necessary substance for the survival of aquaculture aquatic products. The concentration of dissolved oxygen in water directly reflects the quality of aquaculture water. The prediction of dissolved oxygen concentration is helpful to promote the healthy farming of aquatic products and improve the production efficiency of farming. It can be seen that it is of great practical significance to grasp the concentration of dissolved oxygen dynamically in real time in the aquaculture industry. However, the concentration change of dissolved oxygen in the culture pond is a very complicated physical, chemical and biological process. Traditional methods for forecasting ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/18G06N3/00
CPCG01N33/1806G06N3/006
Inventor 郭肇禄尹宝勇刘小生邓志娟夏小云周才英邹玮刚
Owner JIANGXI UNIV OF SCI & TECH
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