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Application of the neural network computing technology for calculating the interval-index characteristics of a minimally redundant modular code

2019
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Doklady of the National Academy of Sciences of Belarus
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The article is devoted to the problem of creation of high-speed neural networks (NN) for calculation of interval-index characteristics of a minimally redundant modular code. The functional base of the proposed solution is an advanced class of neural networks of a final ring. These neural networks perform position-modular code transformations of scalable numbers using a modified reduction technology. A developed neural network has a uniform parallel structure, easy to implement and requires the

doi:10.29235/1561-8323-2018-62-6-652-660
fatcat:n4zoy7vcnvcdjjbt6hvyesjv6a