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A Method of Selecting Optimal Spectrum Spectrum Based on Genetic Algorithm and Its Application

A genetic algorithm and optimal spectrum technology, which is applied in the field of spectral analysis and material composition analysis, can solve problems such as the complexity of qualitative analysis models, achieve the effects of wide application fields, reduce data volume, and improve analysis results

Active Publication Date: 2019-04-23
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0003] The traditional LIBS qualitative analysis model relies on the entire spectral region, and as the amount of spectral data increases, the qualitative analysis model established thereby becomes more and more complex

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  • A Method of Selecting Optimal Spectrum Spectrum Based on Genetic Algorithm and Its Application
  • A Method of Selecting Optimal Spectrum Spectrum Based on Genetic Algorithm and Its Application
  • A Method of Selecting Optimal Spectrum Spectrum Based on Genetic Algorithm and Its Application

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Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0032] like figure 1 As shown, after the method starts, the original spectral data of the training sample obtained by the LIBS experimental platform is read as input, and the optimal spectral segment and the optimal classifier are selected as the output through the genetic algorithm combining principal component analysis technology and artificial neural network algorithm. A network model that can accurately classify materials (within the classification range of training samples) is obtained. The specific implementation steps are as follows:

[0033] Step 1: Obtain the LIBS spectral data of the sample, and determine the wavelength and intensity range.

[0034] Step 2: Encode the spectral segmentation parameters according to the spectral data to form the initial population of the genetic algorithm.

[0035] Among them, after setting the numbe...

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Abstract

The present invention relates to a method and application thereof for selecting optimal spectrum segments based on a genetic algorithm. The specific steps are: 1) obtaining LIBS spectral data; 2) parameter coding to form an initial population of a genetic algorithm; 3) principal component analysis; 4) Train the artificial neural network model; 5) evaluate the network; 6) form a new population; 7) repeat 3) to 6) until the fitness index is met, and output the optimal segment and the corresponding optimal classifier; 8) apply the classifier to Unknown samples are classified. The classifier trained by the method can accurately classify the test samples corresponding to the training samples, so as to qualitatively analyze the composition of the samples.

Description

technical field [0001] The invention belongs to the field of spectrum analysis and component analysis of material materials, and specifically relates to a method for selecting an optimal spectrum segment based on a genetic algorithm and its application. Background technique [0002] LIBS (Laser Induced Breakdown Spectroscopy) technology is a new spectral analysis technology. It uses high-power-density pulsed laser to irradiate the surface of the sample, so that the atoms near the sample surface transition from the ground state to the excited state through processes such as multi-photon absorption and impact ionization, forming a plasma. The elemental composition in the sample can be known by measuring the wavelength of the plasma spontaneous emission spectral line, thereby completing qualitative analysis; the element content can be obtained by analyzing the intensity of the spectral line, and then quantitative analysis can be completed. Compared with traditional detection m...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/08G06F18/24317
Inventor 孙兰香于海斌张鹏丛智博辛勇
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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