Huangshan Maofeng grade identification method based on fuzzy weighting identification information extraction

A technology of information extraction and identification method, which is applied in the field of pattern recognition and artificial intelligence, can solve the problem of the reduction of fuzzy identification feature information extraction ability, and achieve the effect of fast calculation and accurate identification

Pending Publication Date: 2022-04-22
JIANGSU UNIV
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Problems solved by technology

However, for spectral data that does not satisfy the Gaussian distribution, the fuzzy discriminant

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  • Huangshan Maofeng grade identification method based on fuzzy weighting identification information extraction
  • Huangshan Maofeng grade identification method based on fuzzy weighting identification information extraction
  • Huangshan Maofeng grade identification method based on fuzzy weighting identification information extraction

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with drawings and embodiments.

[0039] Such as figure 1 As shown, a Huangshan Maofeng grade identification method based on fuzzy weighted identification information extraction includes the following steps:

[0040] S1, collecting the near-infrared spectrum of the Maofeng sample in Huangshan Mountain: Scan the Maofeng sample in Huangshan Mountain with a Fourier transform near-infrared spectrometer, and store the collected near-infrared spectrum data of Maofeng in Huangshan Mountain in the computer.

[0041] According to China's national standard GB / T 19460-2008, Huangshan Maofeng tea can be divided into six grades: first-class super, second-class special, third-class special, first-class, second-class, and third-class. 60 samples were collected from each grade of Huangshan Maofeng, for a total of 360 samples. Weigh about 3.0 grams of tea leaves of each grade with an electronic balance, then put the w...

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Abstract

The invention discloses a Huangshan Maofeng grade identification method based on fuzzy weighting identification information extraction. The method comprises the following steps: (1) carrying out near infrared spectrum acquisition on each grade of Huangshan Maofeng tea; (2) preprocessing the near infrared spectrum of the Huangshan Maofeng by using a standard normal variable; (3) carrying out dimensionality reduction on near infrared spectrum data of the Huangshan Maofeng through principal component analysis; (4) realizing identification information extraction of the near infrared spectrum data by using a fuzzy weighting identification information extraction method; and (5) identifying each grade of Huangshan Maofeng by using a K nearest neighbor method. According to the method, the problem that the effect is not ideal when the traditional discriminant analysis processes the data which does not meet Gaussian distribution is solved, and the influence of outlier data on identification information extraction is reduced. The method can be used for non-destructively, quickly and effectively performing grade identification on the Huangshan Maofeng.

Description

technical field [0001] The invention relates to the field of pattern recognition and artificial intelligence, in particular to a Huangshan Maofeng grade identification method based on extraction of fuzzy weighted identification information, which is applied to the Huangshan Maofeng grade identification. Background technique [0002] Huangshan Maofeng is one of the top ten famous teas in China. Huangshan Maofeng is rich in caffeine, polyphenols, polysaccharides and vitamins. It has antibacterial, anti-inflammatory, weight loss and heat-clearing effects. Drinking tea regularly is beneficial to human health. Different grades of Huangshan Maofeng tea are similar in appearance, color, and smell. There is a phenomenon of shoddy tea in the market, and it is difficult for ordinary people to accurately judge the different grades of Huangshan Maofeng tea. Therefore, it is of great significance to study a simple, fast and accurate identification method of Huangshan Maofeng grade. [...

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Application Information

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IPC IPC(8): G01N21/359G01N21/3577G01N21/3563
CPCG01N21/359G01N21/3577G01N21/3563G01N2021/3595
Inventor 何飞武小红曾叔鹏朱兴晨
Owner JIANGSU UNIV
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