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A Feature Extraction Method of Intelligent Olfactory Atlas Based on Independent Component Analysis to Characterize the Difference of Honey

A technology of independent component analysis and feature extraction, applied in the direction of analyzing materials, material analysis by electromagnetic means, measuring devices, etc., can solve problems such as weakness

Active Publication Date: 2016-01-27
CHINA NAT INST OF STANDARDIZATION
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  • Application Information

AI Technical Summary

Problems solved by technology

However, it is still weak in differential information mining, which is also a bottleneck restricting the development of electronic noses.

Method used

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  • A Feature Extraction Method of Intelligent Olfactory Atlas Based on Independent Component Analysis to Characterize the Difference of Honey
  • A Feature Extraction Method of Intelligent Olfactory Atlas Based on Independent Component Analysis to Characterize the Difference of Honey
  • A Feature Extraction Method of Intelligent Olfactory Atlas Based on Independent Component Analysis to Characterize the Difference of Honey

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Experimental program
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Embodiment Construction

[0018] 1 About sample collection and preparation

[0019] In order to make the nectar source differences studied representative, according to the division of my country's geographical regions (Western China, South China, North China, East China, and Northeast China), 5 different nectar sources were selected as research samples, namely: 1) Rapeseed honey, collected from the western region 2) Lychee honey, collected from Nanning, Guangxi in South China; 3) Vitex honey, collected from Beijing Miyun and other places in North China; 4) Acacia honey, collected from Laiyang, Shandong in East China; 5) Linden tree honey is collected from Dunhua, Jilin, and Harbin, Heilongjiang, in northeast China. In order to ensure the authenticity and accuracy of the experimental samples and avoid the interference of commercial honey processing technology in the market, the samples were directly purchased from beekeepers through the Bee Research Institute of the Chinese Academy of Agricultural Science...

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Abstract

An extraction method of intelligent olfaction spectrum feature representing differences of honey based on an independent component analysis is characterized in that: the main component analysis is classified according to the maximization of variance between data, namely the secondary moment of data, and the independence of data in the high order moment is neglected; the independent component carries out transformation of matrix by utilizing the high order moment between data, thus related rows between feature vectors are further decreased, and the compressing effect of signals is strengthened; the discrimination rate is 94.94%, when the independent component is 14, the honey sample is 75 / 79, wherein the rape honey is 22 / 23, linden honey is 16 / 17, and acacia honey is 37 / 39.

Description

technical field [0001] The present application relates to a feature extraction method of an intelligent olfactory spectrum for characterizing honey differences based on independent component analysis. Background technique [0002] my country's honey production ranks first in the world. In recent years, the output has maintained a rapid growth trend, increasing from 252,000 tons in 2001 to 402,000 tons in 2009, accounting for more than 30% of the world's total output from nearly 20%. However, due to the drive of economic interests, the current honey market is seriously adulterated, resulting in adulterated honey accounting for 20% to 30% of the honey market. In some areas, adulterated and fake bee products account for about 50%, seriously damaging the interests of consumers and affecting The healthy development of the honey industry and the fight against foreign exchange earnings from export trade. [0003] Due to the lack of detection methods, it is difficult to crack down ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N27/00
Inventor 史波林刘宁晶赵镭汪厚银支瑞聪裴高璞解楠张璐璐
Owner CHINA NAT INST OF STANDARDIZATION
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