V. V. Geppener, I. V. Gorbachova, N. A. Zhukova, I. S. Sokolov

In article the approach to identification of telemetering parametres on a basis is considered is frequency-rangovogo distributions with application of neural networks. The telemetering signal is represented in the form of a vector of characteristics. For formation of a vector of characteristics the characteristics received as a result of approximation are used is frequency-rangovoj dependences. On the basis of the received vectors of characteristics the neural network is under construction. By means of a neural network identification of the new telemetering parametres presented in the form of a vector of characteristics is spent.