Model of Error Correction Device in RNS-FRNN

Abstract

The spread of cloud technologies has made it possible to increase the efficiency and flexibility of computer networks, as well as information storage. However, the decentralized structure and the large geographical distance of data processing centers imposes an additional burden on the infrastructure of such technologies. Both in big data streams and in the processing of information on nodes, an error often occurs, which reduces the reliability of the structure. In this work, we have developed a model of an error correction device in the residue number system using finite ring neural networks. The result of this work is to increase the efficiency of error handling, which in turn increases the reliability of the system.