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
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[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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