Abstract
Investigated neural network by Hebb self-organizated algorithms and direct spreading, discussed ways of learning it and ability to use it at systems of technical information protection. Implemented self-consistent model of composition of the neural network by Hebb algorithm and direct spreading, which is able to detect image data character encoding. The program developed in C ++ for appropriate recognition code access, also created the module of the algorithm realisation blocking system upon reaching a preset percentage of recognition.
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