Image mean learning circuit based on memristive cross architecture
A resistance and mean value technology, applied in the field of picture mean value learning circuits, can solve the problems of inconvenient operation of changing series resistance, increasing the resistance value of series resistance, and difficulty in realizing large-scale reading and writing of memristive crossover architecture, and achieves mathematical models and calculations. The effect of reducing the accuracy requirements, high tolerance, and reducing the time required
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[0021] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings; it should be understood that the preferred embodiments are only for illustrating the present invention, rather than limiting the protection scope of the present invention.
[0022] Such as figure 1 In the multi-layer MCA structure shown, the first layer of MCA is called memory memristive cross architecture (MMCA), and the second layer is called impact factor memristive cross architecture (IMCA). The two layers are connected through CMOS unit 1 . MMCA is used to store pictures, memristor is called storage factor (for color pictures, construct three MMCA, corresponding to RGB three channels), initial value is randomly generated, IMCA is used to mark pixels, memristor 3 is called influence factor, The initial values are all set to intermediate values. When learning pictures, the CMOS unit will read and write to the two layers of MCA at the...
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