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Electronic nose vinegar variety identification method through fuzzy covariance learning network

A learning network and covariance technology, applied in character and pattern recognition, scientific instruments, material analysis by electromagnetic means, etc. The effect of improved classification accuracy

Inactive Publication Date: 2018-04-06
JIANGSU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these two methods have disadvantages: the subjectivity of professionals is higher, and it is expensive to train professionals who specialize in identification; the experiment using gas chromatography is not only complicated, but also has very harsh requirements for the experimental environment. On-site detection by chromatography has certain limitations
Although the neural network (BP) can achieve nonlinear classification by learning sample data, the neural network has problems such as local minimum points and over-learning.

Method used

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  • Electronic nose vinegar variety identification method through fuzzy covariance learning network
  • Electronic nose vinegar variety identification method through fuzzy covariance learning network
  • Electronic nose vinegar variety identification method through fuzzy covariance learning network

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Embodiment Construction

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

[0032] like figure 1 As shown, the main steps of the method for classification of vinegar varieties include:

[0033] Step 1. Using the electronic nose system to collect vinegar samples of different varieties.

[0034] In an environment with a room temperature of 20°C and a humidity of 40%, electrify the electronic nose, and after the sensor is preheated for 10 minutes, pour 10ml of vinegar into the beaker and put it into the box, quickly cover the box, and time; At three time points of 60 minutes, 65 minutes, and 70 minutes, use the host computer program written by labview to collect electronic nose data, and take the average value of the three collection results as a vinegar sample data; after completing a vinegar sample collection, open The lid of the box allowed the sensors to return to their initial state, and th...

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Abstract

The invention discloses an electronic nose vinegar variety identification method through a fuzzy covariance learning network. The method concretely comprises the following steps that firstly the electronic nose is applied to acquire different varieties of vinegar data, then the acquired vinegar data are preprocessed through a standard normal variable transformation (SNV), then data compression isperformed by using principal component analysis (PCA) and the identification information of training samples is extracted by using linear discriminant analysis (LDA), and finally the vinegar variety is identified according to the fuzzy covariance learning network method. The electronic nose vinegar variety identification method through the fuzzy covariance learning network is high in classification accuracy, simple and convenient, lossless, low in cost and easy to implement and popularize and use.

Description

technical field [0001] The invention relates to the field of vinegar variety identification, in particular to a method for identifying vinegar varieties using an electronic nose using a fuzzy covariance learning network. Background technique [0002] Vinegar is one of the seasonings in many families. There are various kinds of vinegar on the market. Different brands of vinegar, different brewing methods and different brewing raw materials have different quality and flavor of vinegar. As the majority of consumers have more requirements for the quality of vinegar, it is of great significance and value to study the distinction between the quality and variety of vinegar. [0003] Generally speaking, the method of odor identification is carried out by some trained people with many years of work experience, and the objective determination method of odor is generally using gas chromatography. However, these two methods have disadvantages: the subjectivity of professionals is highe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01N27/00
CPCG01N27/00G06F2218/12
Inventor 武小红朱锦陈勇杨梓耘孙俊戴春霞傅海军武斌
Owner JIANGSU UNIV
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