Mixed gas identification method based on convolutional neural network
A convolutional neural network and mixed gas technology, which is applied in the field of time series classification of data collected by sensors, can solve problems such as the inability to directly classify mixed gas data, and achieve the effect of high speed and high accuracy.
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[0089] The following describes the process of identifying the gas mixture in the UCI public data set "Gas sensor array exposed to turbulent gas mixtures Data Set" with reference to the accompanying drawings, as an example to further describe the present invention.
[0090] Method flow chart such as figure 1 Shown. The method of the present invention includes:
[0091] 1) Analyze and process the original time series data: search for missing and abnormal values in the original data collected by the MOX gas sensor, and analyze the characteristics of the data;
[0092] 2) Two-dimensional original data is mapped into a picture-like matrix: design a data mapping mode, map the processed data into a picture-like matrix according to different modes, and generate a corresponding sample-set (Sample-set);
[0093] 3) Use convolutional neural network to train the image-like matrix: select a convolutional neural network model to train the training set of multiple sample sets generated in the seco...
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