RESEARCH OF THE CHARACTERISTICS OF THE INFORMATION STREAM TRANSMISSION CHANNEL BASED ON A HYBRID NEURAL NETWORK

Authors

Z.Z. Nigmatov, Tashkent State Technical University named after Islam KarimovFollow
Sh.S. Karimov, Tashkent State Technical University named after Islam KarimovFollow

Abstract

The article describes a hybrid algorithm for tuning parameters of a neural network based on sigma-pi neurons. The process of controlling an algorithm based on a hybrid neural network is considered. The use of an integrated training approach for neural networks built on the basis of sigma-pi neurons makes it possible to train them in the time required to configure the neural network to solve an applied problem. The possibility of using a sigma-pi network to estimate the parameters of the information transmission channel based on the analysis of the spectrum of the reflected sounding signal is considered. To form a training and test network sample, a description of the developed device for analyzing wire communication lines is given.

First Page

221

Last Page

224

References

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Recommended Citation

Nigmatov, Z.Z. and Karimov, Sh.S. (2020) "RESEARCH OF THE CHARACTERISTICS OF THE INFORMATION STREAM TRANSMISSION CHANNEL BASED ON A HYBRID NEURAL NETWORK," Chemical Technology, Control and Management: Vol. 2020: Iss. 5, Article 40.
DOI: https://doi.org/10.34920/2020.5-6.221-224