Open AccessThe usage of a neural networks for forecasting population a region
Author(s) -
Arsenty I. Bredikhin,
Бредихин Арсентий Игоревич
Publication year - 2019
Publication title -
vestnik ûgorskogo gosudarstvennogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2078-9114
pISSN - 1816-9228
DOI - 10.17816/byusu20190216-22
Subject(s) - artificial neural network , perceptron , population , computer science , multilayer perceptron , artificial intelligence , machine learning , demography , sociology
This article describes the use of a neural network, namely, a multi-layer perceptron in the problem of forecasting the population of the region on the example of the Khanty-Mansiysk Autonomous Okrug-Ugra. In solving this problem, we used data on the population of KHMAO-Yugra for the period from 1989 to 2018, on the basis of which the forecast of the population of KHMAO-Yugra for 20192029 was made. Based on the results of forecasting, conclusions are made about the applicability of neural networks in the forecasting problem.