FIELD: information technology.
SUBSTANCE: invention can be used in the construction of information processing systems in the neural network basis, including pattern recognition (classification). Apparatus comprises an input nodes multiplying the input value by a weighting factor, adder block activation function, each node multiplying the input value by a weighting factor includes a multiplier input by a weighting coefficient, and forming unit weight, comprising a comparator input, and the threshold values of the cell nonvolatile memory with data written therein thresholds switch memory permanent storage device to record therein the weights.
EFFECT: technical result is the ability to ensure multi-parameter classification.
1 cl, 2 dwg
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