Ore grade estimation method and device based on BP neural network

A BP neural network, grade technology, applied in neural learning methods, biological neural network models, neural architectures, etc., to achieve the effect of ensuring accuracy and accurate valuation results

Active Publication Date: 2020-12-01
中国煤炭地质总局勘查研究总院
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Problems solved by technology

[0005] The embodiment of the present invention provides a method and device for estimating ore grade based on BP neural network, which is used to solve the requirement of using Kriging method to estimate ore grade in the prior art that there are many training samples and satisfy the normal distribution, which has the advantages of The defect of great limitations enables accurate estimation of ore grade using less training sample data

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  • Ore grade estimation method and device based on BP neural network
  • Ore grade estimation method and device based on BP neural network
  • Ore grade estimation method and device based on BP neural network

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0043] Combine below figure 1 Describe the ore grade estimation method based on BP neural network provided in this embodiment, including: S101, obtain the three-dimensional space coordinates of the position points in the ore to be evaluated in the ore deposit, and determine the BP neural network according to the three-dimensional space coordinates...

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Abstract

The embodiment of the invention provides an ore grade estimation method and device based on a BP neural network. The method comprises the steps: obtaining the three-dimensional space coordinates of aposition point in an ore to be subjected to grade estimation in an ore deposit, and determining the input information of the BP neural network according to the three-dimensional space coordinates; inputting the input information into the BP neural network, and outputting grade data of the position point; wherein the BP neural network is obtained by training according to the position point sample of the ore and the grade data of the position point sample. Therefore, the evaluation result is more accurate, and the precision of ore grade evaluation can still be ensured when the number of trainingsamples is small.

Description

technical field [0001] The invention relates to the technical field of geological information processing, in particular to a method and device for estimating ore grade based on BP neural network. Background technique [0002] With the rapid development of 3D visualization technology, geological body modeling technology is also developing rapidly. The key problem to be solved in 3D geological body modeling is how to use the known geological information of boreholes to calculate the geological information of unknown areas, that is, how to perform spatial interpolation. [0003] Due to the limitation of manpower, material resources and capital cost, the geological data obtained through drilling and other projects are a series of discrete data with uneven spatial distribution. Therefore, it is necessary to use the known geological data to obtain the unknown geological data through the spatial interpolation algorithm, and then obtain the data information of the entire geological...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06N3/04G06N3/08
CPCG06Q30/0283G06N3/049G06N3/08G06N3/044G06N3/045Y02P90/30
Inventor 张衡林燕白秀佳
Owner 中国煤炭地质总局勘查研究总院
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