The solution of problems of technical diagnosis of the corporate data transmission network with application of neural networks

The research objective is directed, first, to definition of technical condition of the data transmission network (DTN) on the basis of a set of diagnostic parameters of elements of a network and parameters of quality of services and, secondly, to formation of hypotheses of the reasons of emergence of malfunctions in DTN. For the solution of a goal the following methods were used: signature, statistical, neural networks. In work the developed neural network model is presented for the solution of problems of technical diagnosing of DTN which unlike known considers as basic data parameters of the DTN separate elements, parameters of a network and parameters of quality of service is presented. The model allows to refer current state of DTN to one of the entered states. Results of research can be used in the existing and perspective complexes of test systems of a condition of DTN on the basis of neural networks.