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Particle swarm optimization based spectral overlapping peak decomposition method

A particle swarm algorithm, a technique for overlapping peaks, which is used in computing, computing models, instruments, etc.

Inactive Publication Date: 2018-04-03
CHENGDU UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method overcomes the shortcomings of current overlapping peak decomposition methods

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  • Particle swarm optimization based spectral overlapping peak decomposition method
  • Particle swarm optimization based spectral overlapping peak decomposition method
  • Particle swarm optimization based spectral overlapping peak decomposition method

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Embodiment Construction

[0013] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: the present embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following implementations example.

[0014] This embodiment assumes that the overlapping peaks to be decomposed obtained in the radioactivity measurement are F 0 (x)(x=N a ,...,N b ), where x is the road address, F 0 (x) represents the count on the x track site, and it is assumed that the overlapping peak is formed by overlapping M spectral peaks, and the method is used to decompose the overlapping peak according to the following specific steps ①~④.

[0015] Step ① Perform background subtraction on overlapping peaks and normalize to obtain overlapping peaks with an area of ​​1.

[0016] In step ②, the normalized o...

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Abstract

The invention discloses a particle swarm optimization based spectral overlapping peak decomposition method. First, background rejection and normalization are performed on an overlapping peak and an overlapping peak having an area of 1 is obtained. Second, the overlapping peak subjected to normalization is represented by a GMM-SDRE model. The overlapping peak subjected to normalization is taken asa probability density function and a corresponding random number is generated. Finally, a particle swarm optimization based group search technique is adopted and each particle is corresponding to oneGMM-SDRE model, and the probabilities (which is namely the fitting degrees) of the GMM-SDRE models are calculated out in the statistics meaning. After iteration and update, the overall optimal GMM-SDRE model having the overall maximal probability is searched, so that the decomposition of the overlapping peak is realized. The method provided by the invention is high in decomposition precision and can be widely applied to decomposition of different kinds of heavily overlapping spectral peaks.

Description

technical field [0001] The invention relates to a method for decomposing spectral overlapping peaks based on particle swarm algorithm. Background technique [0002] Due to the energy resolution of the detector and other reasons, there are often serious overlapping interferences between different spectral peaks with close peak positions and large peak widths. It is necessary to conduct further accurate and comprehensive quantitative and qualitative analysis of the spectra to analyze spectral overlapping peaks. Very necessary. The research on spectral decomposing methods has always been a key topic in the field of spectral research, electrochemical analysis and chromatographic analysis. There have been many research reports on the decomposition methods of spectral overlapping peaks. These include curve fitting, Gaussian mixture model and expectation maximization (EM) iterative algorithm, combination of Gaussian mixture statistical model and genetic algorithm, combination of w...

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Application Information

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IPC IPC(8): G06N3/00
CPCG06N3/006
Inventor 黄洪全杨熙蒋开明
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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