Naive Bayes classifier design method and system based on memristor and classifier
The invention discloses a memristor-based naive Bayes classifier design method and system and a classifier, and belongs to the technical field of information; the method comprises the steps: constructing a naive Bayes classifier comprising an M*2N (row*column) memristor array, M being the number of...
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Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a memristor-based naive Bayes classifier design method and system and a classifier, and belongs to the technical field of information; the method comprises the steps: constructing a naive Bayes classifier comprising an M*2N (row*column) memristor array, M being the number of classification types, and N being the number of pixel points in a picture; calculating the number hj,2i-1 of the ith pixel point with the pixel value of 0 and the number hj,2i, j = 1, 2,..., M in the ith pixel point in the jth training sample; applying hj,2i-1 pulses are applied to the memristors Rj,2i-1 in the jth row and the 2i-1 column so as to modulate the conductance of the Rj,2i-1; applying hj,2i pulses to the memristors Rj and 2i in the jth row and the 2i column so as to modulate the conductance of the Rj and 2i, and using the modulated naive Bayes classifier for identifying the type of the picture to be classified. The asymmetry and non-linear restrictions of the conductivity change of the memristor in the |
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