title: ÐÐ²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÐ° ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² Ð²ÑÑ Ð¾Ð´Ð½Ð¾Ð³Ð¾ ÑÑÐ°ÐºÑÐ° ÑÐ°Ð´Ð¸Ð¾Ð¿ÐµÑÐµÐ´Ð°ÑÑÐµÐ³Ð¾ ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Automatic adjustment of the elements of the output path of the radio transmitting device
Creators: name: Ð¢ÑÐ¸ÑÐºÐ¸Ð½Ð°, ÐÐ¾Ð»Ð¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
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Ð¿ÐµÑÐµÐ´Ð°ÑÐ¾ÑÐ½Ð°Ñ ÑÑÐ½ÐºÑÐ¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð°
neural network
output path of a radio transmitting device
matching
simulation model
tuning inductance
antenna-matching device
transmission function of a neuron

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description: This work is devoted to the analysis of the possibility of using neural networks for matching the antenna and the load. Several variants of neural networks with different numbers of neurons, layers, and the use of different transfer functions were considered. As a result of this consideration, a choice was made in favor of a neural network with the best error rates in training. The accuracy and speed of this neural network were estimated by simulating the output path of a radio transmitting device. The results obtained allow us to conclude that the amount of memory used is less than that of tuning tables, and the speed of finding a solution is proportional to the three-fold difference between the initial and target values of the tuning inductance. Thus, based on the results obtained, it can be concluded that it is advisable to use neural networks as part of the control system of the antenna-matching device.