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Method for predicting information on same-position co-kriging by using Markov model

A prediction method and co-located technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as instability of cross matrix between different variables

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

Problems solved by technology

[0013] Since the original co-kriging method cannot solve the problem of instability of the cross matrix between different variables

Method used

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  • Method for predicting information on same-position co-kriging by using Markov model
  • Method for predicting information on same-position co-kriging by using Markov model
  • Method for predicting information on same-position co-kriging by using Markov model

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Embodiment Construction

[0068] 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.

[0069] An example of predicting the distribution of unknown information using a Markov model co-kriging method of the present invention is described in detail in conjunction with the accompanying drawings as follows:

[0070] See figure 2 - Figure 6 and Table 1 are the simulation experiment results of co-kriging based on the Markov model.

[0071]

average

variance

soft data

5.4812

1.159

z 1 (u) and z 2 (u) The correlation coefficient is 0.1

3.1232

1.453

z 1 (u) and z 2 (u) The correlation coefficient is 0.4

3.8432

1.390

z 1 (u) and z 2 (u) The correlation coefficient is 0.7

5.1298

1.338

z 1 (u) and z 2 (u) The correlation coefficient is 0....

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Abstract

The invention discloses a method for predicting information on a same-position co-kriging by using a Markov model, which is used for implementing the approach to a global co-kriging method. The approach is based on a screening hypothesis of Markov. According to a screening effect hypothesis of the Markov model, the co-kriging method can be approached, and the same-position co-kriging also can implement the approach according to the Markov model. Thus, in the screening effect of the Markov model, hypothesis hard data can screen the influence on soft data at the position of the hypothesis hard data caused by other hard data beyond the position of the hypothesis hard data. So, under the condition of a plurality of variables, the same-position soft data which is closest to and most approximated to the correlation coefficients of the hard data often comprises the most predicted information. The method makes full use of the abundant soft data and can improve the accuracy of a prediction model. The method can be widely used in certain engineering and industrial fields such as geology, meteorology, mining and the like.

Description

Technical field: [0001] The invention relates to an information prediction simulation technology widely used in engineering and industrial fields to predict the distribution characteristics of spatial variables, in particular to an information prediction method using Markov model co-kriging. Background technique: [0002] Currently in some engineering and industrial fields, interpolation methods are widely used to predict the distribution characteristics of spatial variables. In this case, uncertainty interpolation methods including kriging and stochastic simulation methods can be used to achieve the above purpose. "Uncertainty" The "uncertainty" of the interpolation method is manifested in the randomness of the interpolation form on the one hand, and in the selection and determination of interpolation parameters that depend on the principles of probability and statistics on the other hand. In most cases, however, there may be more than one experimental variable represented...

Claims

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Application Information

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IPC IPC(8): G06F17/00
Inventor 杜奕张挺
Owner SHANGHAI SECOND POLYTECHNIC UNIVERSITY
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