title: ÐÐ¾Ð»ÑÑÐµÐ½Ð¸Ðµ Ð²ÐµÐºÑÐ¾ÑÐ½ÑÑ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¹ ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¸Ñ ÑÐµÐ¿ÐµÐ¹ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹
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: Obtaining vector representations of electrical circuits using neural networks
Creators: name: ÐÐµÐ»ÑÐ´ÐºÐ¾Ð², Ð¤ÐµÐ´Ð¾Ñ
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: 2022
Subjects: Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐµÐºÑÑÑÐµÐ½ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð´Ð¾Ð»Ð³Ð¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð°Ñ ÐºÑÐ°ÑÐºÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð°Ñ Ð¿Ð°Ð¼ÑÑÑ
Ð¸ Ð¸Ð½Ð²ÐµÑÑÐ¾ÑÐ½ÑÐ¹ Ð³ÑÐ°Ñ
neural networks
deep learning
recurrent neural networks
long-term short-term memory
and the inverter graph

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description: The aim of the work is to find a solution to the problem of obtaining vector representations of electrical circuits for neural networks. In this paper, a review of methods for obtaining vector representations of electrical circuits was conducted, a format for solving the problem was selected and considered in detail, as well as a review of deep learning methods and a classifier based on representations of electrical circuits was implemented. The and inverse graph was chosen as the solution to the problem. The schemes of adders and subtractors have been converted to ASCII and inverse graph format.To implement the classifier, a recurrent neural network with a long-term short-term memory layer, four linear layers and a Rectified Linear as an activation function was chosen. The resulting classifier correctly determined the scheme with an accuracy of 0.83.Â