Diagnostics of the transport data network routes with the neural networks

The approach to the solution of the technical diagnostics problem of a transport data transmission network (TDTN) is presented, which allows to work with different groups of diagnostic data depending on the requirements by the time the task is completed, which in turn will allow reducing the average time of realization of the network diagnosis process; takes into account the physical and logical structures of the TDTN. The application of the method based on the neural networks in this approach ensured the attainment of the set goal, namely the stable functioning of the TDTN with different failure rates. The results of the research can be used in existing and prospective complexes of systems for technical diagnosis of the state of TDTN based on the neural networks.