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Detection method of air permeability of tipping paper based on least square support vector machine

A technology of support vector machine and least squares, applied in the field of information processing, which can solve the problems of large measurement error, slow measurement speed, and high cost.

Active Publication Date: 2015-12-16
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0011] The invention provides a method for detecting the air permeability of tipping paper based on the least squares support vector machine, which is used for the problems that the existing air permeability detection equipment of tipping paper is expensive, the measurement speed is slow, and the online detection and measurement error is relatively large.

Method used

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  • Detection method of air permeability of tipping paper based on least square support vector machine
  • Detection method of air permeability of tipping paper based on least square support vector machine
  • Detection method of air permeability of tipping paper based on least square support vector machine

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Embodiment 1

[0053] Embodiment 1: as Figure 1-3 Shown, a kind of tipping paper air permeability detection method based on least squares support vector machine, the specific steps of the tipping paper air permeability detection method based on least squares support vector machine are as follows:

[0054] S1. Obtain known air permeability sample data of perforated tipping paper;

[0055] S2. Perform normalization processing on the collected data to obtain a sample set;

[0056] S3. Divide the data of the sample set into two parts, one part is used as LS-SVM training samples, and the other part is used as test samples, and the LS-SVM parameters are optimized by the PSO algorithm, that is, the particle swarm optimization algorithm optimizes the LS-SVM parameters; The training samples are used for the training of the support vector machine to obtain the mathematical model of the least squares support vector machine; the test samples are used to test the accuracy of the model;

[0057] S4. Ob...

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Abstract

The invention relates to a detection method of air permeability of tipping paper based on a least square support vector machine, which belongs to the field of information processing technology. According to the invention, the perforation area of perforated tipping paper is selected as input; acquired data is subjected to normalization so as to obtain a sample set; particle swarm optimization is employed to select the parameters and penalty coefficient of a kernel function; a tipping paper air permeability detection model is established by using a least square support vector machine method; and the detection method realizes high-precision and high-efficiency detection of the air permeability of the tipping paper and is of great significance to realization of on-line detection and intelligent control of the air permeability of the tipping paper.

Description

technical field [0001] The invention relates to a method for detecting air permeability of tipping paper based on a least square support vector machine, and belongs to the technical field of information processing. Background technique [0002] At present, with the development of the country's economy and society, people are increasingly concerned about health issues, and their awareness of self-protection is constantly strengthening. We know that smoking is very harmful to health. In order to reduce the harm of smoking to human health, the tobacco industry has invested a lot of manpower and material resources in research. [0003] The air permeability of perforated tipping paper is an important indicator to effectively control the tar content in cigarettes, and the tar content is an important indicator of the damage caused by cigarettes to human health. my country is a big tobacco country with the largest number of smokers in the world. Research An efficient and reliable ai...

Claims

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Application Information

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IPC IPC(8): G01N15/08G06N3/00
Inventor 钱斌张笑迪胡蓉
Owner KUNMING UNIV OF SCI & TECH
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