Neural network evaluation of telecommunication systems functioning quality

DOI №______

Abstract

The approaches to the neural network estimation of the quality of functioning of the telecommunication network are determined. The interaction of components of a neural network system for assessing the quality of functioning of such a network is shown. The structure of the modified network PNN is considered and the requirements for conformity of neural network models with the conditions of functioning of the telecommunication system are determined. In recent years, there has been a significant increase in interest in the study of application of applied intellectual technologies in various spheres of life. The main architectural peculiarity that distinguishes the intellectual control system from the "traditional" scheme is the availability of mechanisms for storing and processing knowledge for the implementation of the abilities to perform the necessary functions in incompletely defined or uncertain conditions under the random nature of external influences. An important area of development of telecommunication networks is the use of means for automatic recognition of development of telecommunication networks parameters and information circulating in it. Currently insufficiently studied is the neural network recondite of signals received. At different sections of development of telecommunication networks. According to the recommendations, in order to solve this problem, it is necessary to develop a conceptual model for ensuring the efficiency of the neural network recognition of development of telecommunication networks parameters. In the general case, the conceptual model is a model of the domain, consisting of a list of interrelated concepts. It used to describe this area, along with properties and characteristics. The classification of these concepts by types, situations, features in the field, and laws of leakage in it processes The block of formation of the parameters of educational examples determines for the signals occurring in the telecommunication network, the set of input and output parameters and encodes them into a species suitable of development of telecommunication networks.

Keywords: neural network estimation; neural network model; functioning quality; telecommunication network.

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