Method for predicting pH value of stream in rare earth mining area based on cloud model and artificial bee colony optimization

A technology for artificial bee colony optimization and rare earth mining areas, which can be applied to calculation models, biological models, artificial life, etc., and can solve problems such as low precision

Active Publication Date: 2016-03-23
JIANGXI UNIV OF SCI & TECH
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Problems solved by technology

[0004] The present invention mainly solves the technical problems existing in the prior art; aiming at the shortcoming that the traditional water quality model has low accuracy in describing the change process of the pH value of the stream in the rare earth mining area, a cloud model is proposed to optimize the pH value of the stream water in the rare earth mining area method of prediction

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  • Method for predicting pH value of stream in rare earth mining area based on cloud model and artificial bee colony optimization
  • Method for predicting pH value of stream in rare earth mining area based on cloud model and artificial bee colony optimization
  • Method for predicting pH value of stream in rare earth mining area based on cloud model and artificial bee colony optimization

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Embodiment

[0066] Step 1, collecting the stream water samples in the rare earth mining area for 56 days in a row that needs to be predicted, and detecting the indicators of the collected water samples every day: ammonia nitrogen, total ammonia, total nitrogen, total phosphorus, sulfide, water temperature, water flow velocity, pH value, and Use the collected stream water index data as a sample data set;

[0067] Step 2, normalize the collected stream water index sample data set in the rare earth mining area, set the first 70% as the training data set of the support vector machine, and set the last 30% as the test data set;

[0068] Step 3, the user initializes the parameters, the initialization parameters include the user initialization prediction span days RN=3, the population size Popsize=50, the maximum number of non-updates Limit=100, and the maximum number of evaluations MAX_FEs=300000;

[0069] Step 4, the current evolution algebra t=0, the current evaluation times FEs=0, and the nu...

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Abstract

The invention discloses a method for predicting the pH value of stream in a rare earth mining area based on a cloud model and artificial bee colony optimization. A support vector machine (SVM) is utilized to predict the pH value of the stream in the rare earth mining area; a penalty factor C of the SVM, a radial basis kernel parameter g and a parameter epsilon in an insensitive loss function are encoded into individuals of an artificial bee colony algorithm; a cloud model sampling based observation bee search operator is designed; and a chaotic elite backward learning based scout bee search operator is designed for improving the search capability of the algorithm; and compared with a similar method, the method provided by the invention can improve the precision of predict the pH value of the stream in the rare earth mining area.

Description

technical field [0001] The invention relates to the field of pH value prediction, in particular to a method for predicting the pH value of brook water in a rare earth mining area optimized by cloud model artificial bee colony. Background technique [0002] Rare earths play a very important role in the fields of electronics, petrochemicals, metallurgy, machinery, national defense, aerospace and other fields. One out of every six scientific and technological inventions in the world is closely related to rare earths. Among the rare earth resources in our country, ionic rare earths are unique rare earth resources in southern my country, and they play an extremely important role in high-end technology all over the world. [0003] At present, the mining of ion-type rare earth mines mainly utilizes the method of in-situ leaching. During the mining process of this process, a large amount of ammonium sulfate and ammonium bicarbonate will be poured into the interior of the mine, and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/00
CPCG06N3/006G06F18/2411
Inventor 郭肇禄董姗燕杨火根刘小生鄢化彪刘松华
Owner JIANGXI UNIV OF SCI & TECH
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