Sensory substance classification method based on olfaction brain waves and PSO-SVM (particle swarm optimization support vector machine)
A PSO-SVM and classification method technology, applied in the field of sensory substance classification based on olfactory brain waves and PSO-SVM, can solve problems such as poor repeatability, doping with subjective factors, and inability to fully reflect the real feeling of the human body, and achieve sensory evaluation process Conciseness, rigor and scientificity, and the effect of reducing costs
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[0021] Materials and methods: 3 different brands of beer (Tsingtao, Cordon Bleu, Harbin) were selected, and their alcohol concentrations and raw materials are shown in Table 1 below:
[0022] Table 1 Samples of 3 different brands of beer
[0023]
[0024] In terms of olfactory EEG signal analysis, the EEG signals used are self-collected data in the laboratory. After the original EEG signals are collected, EEG preprocessing is performed first (including deleting bad areas, filtering out 50Hz power frequency interference, and superimposing data. average, wavelet transform, etc.); then perform linear analysis and nonlinear analysis on it, and use the peak value, mean value, standard deviation, center value, center frequency, power sum, and spectral entropy obtained by sub-frequency bands as eigenvalues; considering the collected The electrode contains different regions, so the electrode screening is carried out; finally, the selected feature value is sent to the corresponding ...
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