Work

Control system of intelligent buildings based on convolutional neural networks

Year: 2021

Type: conference-paper

Abstract: In recent years, with the development of ”Internet of things” appeared another concept – smart home environment, which is defined as the physical infrastructure to operate of ambient intelligence. For the effective operation of such facilities requires to develop of new methods and approaches for adaptive control. In this paper, we analyzed the parameters characterizing the state of the control object, identify the necessary set of measured parameters obtained from the sensors, and an informative set of input parameters. We design method of training of neural network.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/2091/1/012059

Authors: Yu. A. Lezhnina, N. S. Maltseva

Institutions: Moscow Polytechnic University, Astrakhan State Technical University

Language: English

Topic: IoT-based Smart Home Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4200100151

FWCI:

Cites: 10

Cited by:

Related to: 10