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Information predicting method based on soft and hard data

A prediction method and data technology, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as difficulty in reconstructing complex graphics

Inactive Publication Date: 2010-05-12
SHANGHAI SECOND POLYTECHNIC UNIVERSITY
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AI Technical Summary

Problems solved by technology

Both Kriging and stochastic simulation methods are based on the variogram that describes the correlation between two spatial points, and the variogram can only reflect the correlation between two spatial points, which makes it difficult to reconstruct some complex graphics, such as long-distance curved river

Method used

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  • Information predicting method based on soft and hard data
  • Information predicting method based on soft and hard data
  • Information predicting method based on soft and hard data

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Embodiment Construction

[0077] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

[0078] A continuous multi-point geostatistical method based on soft and hard data information of the present invention predicts an example of unknown information distribution in conjunction with the accompanying drawings as follows:

[0079] See Figures 6-11 and Table 1 for a comparison of this method with simulations using only hard data and unconditional data.

[0080]

[0081] Table 1

[0082] Table 1 shows the maximum memory, CPU time, mean and variance values ​​required when using hard and soft data, only using hard data and unconditional data.

[0083] In this embodiment, FIG. 6 is an information distribution map of a certain area, which is used as a training image (80×80×40 voxels). (a) represents the outer surface of the training im...

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Abstract

The invention discloses a multipoint geology statistics method based on a filter. The method comprises the following steps: (1) scanning a training image by utilizing a data template to obtain a data event; (2) using the filter to carry out classification to patterns in the training image by using a continuous type MPS method, so as to realize dimension reduction; and (3) combining the use of soft and hard data to carry out simulated prediction. In order to correctly predict unknown information, the method takes soft data and hard data simultaneously as conditional data of the simulation image in the multipoint geology statistics method commonly, thus improving the precision of predictive result of unknown information. The method can be widely applied to a plurality of scientific fields such as medicine, geology, meteorology, mining and the like.

Description

Technical field: [0001] The invention relates to an information prediction simulation technology widely used in many fields such as medicine and geology, and in particular to a method for predicting unknown information based on soft and hard data by using continuous multi-point geostatistical method. Background technique: [0002] At present, information prediction for unknown areas is of great significance in many scientific fields, and it has been widely used in fields such as medicine, geology, meteorology and mining. Although there are many interpolation methods used for prediction of unknown information, it is still difficult to realize accurate prediction of information. [0003] Interpolation methods can be divided into "deterministic" interpolation methods and "uncertain" interpolation methods. [0004] The interpolation form, interpolation function parameters, and interpolation results of the "deterministic" interpolation method are basically deterministic, and the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杜奕张挺
Owner SHANGHAI SECOND POLYTECHNIC UNIVERSITY
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