Open AccessForecasting Trends with the Presence of Neural Networks
Author(s) -
A.I. Tarutin,
Светлана Веретехина,
Dina Eliseeva
Publication year - 2020
Publication title -
contemporary problems of social work
Language(s) - English
Resource type - Journals
eISSN - 2412-5466
pISSN - 2412-527X
DOI - 10.17922/2412-5466-2020-6-3-12-21
Subject(s) - position (finance) , order (exchange) , production (economics) , quality (philosophy) , distribution (mathematics) , industrial organization , goods and services , identification (biology) , moment (physics) , presentation (obstetrics) , business , computer science , economics , economy , microeconomics , finance , epistemology , classical mechanics , biology , mathematical analysis , philosophy , botany , physics , mathematics , medicine , radiology
the article uses the results of studies on the impact of trends on the economy of individual companies and states. The importance of trends in all areas of activity is proved. Methods of finding future trends are also proposed. So, this technology can change the financial income of companies and distribution networks, as well as the position of states on the world stage. The use of trending technology can change the economies of countries. The hypothesis of the dependence of the rate of propagation of trends on the speed of information transfer is considered. The importance of combining industries in order to enhance the quality of the presentation of information to the end user and the convenience of its visualization are discussed. It is noted that at the moment, conducting experiments and tests becomes possible at “home”; therefore, the market is becoming more competitive and requiring new technical solutions. Possible uses of this technology in a market environment are presented. Monitoring the identification of new trends is important because works ahead of the curve. An additional effect is the early entry of goods into the market, in contrast to enterprises that do not use trend forecasts. Advancement provides the following advantages: reduction of the time for goods and services to enter the market; reduction of production costs due to the possibility of increasing production time. And ways to use neural networks in finding a trend.