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Industrial Automatic Control Systems and Controllers

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Algorithm for Determining the Survivability of Network Information Systems
Gromov Y.Y. Minin Yu.V. Khorokhorin M.A. Dolgov A.A.

The urgency of the use of neural network models evaluate the survivability of network information structures based on the membership function.
Justified and implemented an algorithm for estimating the survivability of network information structures using artificial neural networks based on the membership function, which allows an estimate of survivability of network data structures with complex (hybrid) topology and large dimension.
Rationale and conducting simulation studies of network survivability information structures and evaluation of the reliability of the result obtained by the developed algorithm.
Domain analysis allowed us to offer a neural network model evaluate the survivability complex information structures and network topologies based on the choice of values ​and membership functions for the development, which used cross-platform software development tools in the programming language C + +.

Keywords: network information structure model; survivability; artificial neural network topology graph; the membership function.

Contacts: E-mail: gromovtambov@yandex.ru

Pp. 40-46.

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