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Data fitting-based law research method for content of rare earth elements in rare earth ore tailings

A rare earth element and data fitting technology, which is applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., and can solve the problem that the change law of rare earth element content cannot be determined.

Inactive Publication Date: 2018-11-13
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

However, so far we have not been able to determine the variation of REE content in in-situ leaching tailings, and the potential redevelopment benefits

Method used

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  • Data fitting-based law research method for content of rare earth elements in rare earth ore tailings
  • Data fitting-based law research method for content of rare earth elements in rare earth ore tailings
  • Data fitting-based law research method for content of rare earth elements in rare earth ore tailings

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Embodiment Construction

[0018] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0019] 1. Local weighted regression

[0020] The Locally Weighted Regression Algorithm (LOWESS) is an algorithm used to obtain a regression model in data mining. It was first proposed by C1eveland to solve the problem of a single variable, and then extended to multiple independent variables in the actual use process by C1eveland and Develin.

[0021] The local weighted regression algorithm makes the value of each parameter in the regression model change with the change of the value of the independent variable in the model, and then obtains the values ​​generated in different changes, and selects different parameter values. That is, different parameter values ​​correspond to different parameters, so that the estimated value of the corresponding regression function is given locally according to the different independent variables. for different...

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Abstract

The invention discloses a data fitting-based law research method for content of rare earth elements in rare earth ore tailings. According to collected data on the change of the rare earth content along with the change of the depth, the rare earth elements retained in the tailings are analyzed by adopting a curve fitting method. Firstly, a scatter diagram is drawn according to original data, then alocal weighted linear regression algorithm is adopted for giving certain weights to all points near all to-be-predicted points, and regression is carried out on the basis of a minimum mean square deviation, so that a basic regression curve trend of the data is obtained. Then, according to the obtained basic curve trend, and in combination with a final curve obtained by a least square method, an optimal curve is obtained by minimizing a quadratic sum error, so that a retention law of the rare earth elements in the tailings is obtained.

Description

technical field [0001] The invention specifically relates to the research on the law of rare earth element content in rare earth in-situ leaching ore tailings based on data fitting, and belongs to the technical field of rare earth element analysis in rare earth tailings. Background technique [0002] Because of their unique electronic layer structure, rare earth elements have excellent magnetic, optical, and electrical properties, and are now widely used in various industries. Southern weathering crust rare earth ore is a unique and precious rare earth resource in my country. It is of great significance to increase the research on rare earth leaching tailings in situ, improve the utilization rate of rare earth resources, and reduce the impact of tailings on the environment. However, so far we have not been able to determine the variation law of rare earth element content in in-situ leaching tailings, and the potential redevelopment benefits. To this end, we collected data o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 任勇军
Owner NANJING UNIV OF INFORMATION SCI & TECH
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