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A Multivariate Calibration Method Based on Information Fusion

A multivariate correction and algorithm technology, applied in the field of chemometrics, can solve the problems of multivariate correction method prediction result error, difficulty in determining the optimal prediction result of the algorithm, etc., and achieve the effect of reducing the total prediction error

Active Publication Date: 2021-09-28
XIAN UNVERSITY OF ARTS & SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Each multivariate correction method has its own advantages and disadvantages, and it is difficult to determine which algorithm will achieve the best prediction results
In practical application, there are errors in the prediction results of each multivariate correction method

Method used

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  • A Multivariate Calibration Method Based on Information Fusion
  • A Multivariate Calibration Method Based on Information Fusion
  • A Multivariate Calibration Method Based on Information Fusion

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In this embodiment, the simulation data is used for the test. The sample in the test is a mixture of 4 pure components, and the wavenumber range of the measurement spectrum is 10000-12500cm -1 , the sampling interval is 10cm -1 (that is, each sample has q=251 channel measurement results), and the spectra of the unit pure components are respectively:

[0035]

[0036] In the formula, n (n=1,2,3,...,N) is the wave number serial number, λ n It is the nth wave value, which can be 10000, 10010, 10020,..., 12500 respectively;

[0037] Record the spectra of pure components as a 4-row q-column matrix Xs

[0038]

[0039] The component matrix used in the design model is a random independent variable matrix Yc with 100 rows and 4 columns (that is, p c =100, m=4), the independent variable column matrix Xc used to build the model is

[0040] Xc=YcXs+Ec

[0041] Among them, the row number p of Xc c =100, column number q=251, each element of Yc obeys (0,1) uniform distrib...

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Abstract

The invention relates to the technical field of chemometrics, in particular to a multivariate correction method based on information fusion. A multivariate correction method based on information fusion, including the first part: model building; the second part: prediction part. The present invention proposes a multivariate correction method based on information fusion. After the information is fused by the method provided by this method, the predicted root mean square error is significantly smaller than the fused K The prediction root mean square error of each method; the fusion method of the present invention can offset the prediction error of each algorithm, thereby reducing the total prediction error.

Description

technical field [0001] The invention relates to the technical field of chemometrics, in particular to a multivariate correction method based on information fusion. Background technique [0002] Multivariate correction is widely used in chemometrics. Its main function is to establish a mathematical model to describe the relationship between dependent variables (such as component values) and independent variables (such as spectra), and then use the established mathematical model to analyze the dependent variable of unknown samples. Make predictions. Taking near-infrared spectroscopy as an example, the process of multivariate calibration is usually as follows: first, carry out experimental design according to certain rules, select or prepare corresponding multi-component samples according to the experimental design; then put the samples into the near-infrared spectrometer for measurement, and obtain each sample independent variable (spectrum); then use a multivariate correctio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16
CPCG01N21/31G01N21/359G06F17/16G06F17/18
Inventor 吴雪梅
Owner XIAN UNVERSITY OF ARTS & SCI