
PREDICTIVE MODELING OF TECHNOLOGICAL DEVELOPMENT TRENDS
Author(s) -
Alla G. Kravets,
Natalia A. Salnikova
Publication year - 2020
Publication title -
izvestiâ sankt-peterburgskogo gosudarstvennogo tehnologičeskogo instituta (tehničeskogo universiteta)
Language(s) - English
Resource type - Journals
ISSN - 1998-9849
DOI - 10.36807/1998-9849-2020-55-81-103-108
Subject(s) - technology forecasting , computer science , artificial neural network , technological change , development (topology) , data science , artificial intelligence , mathematics , mathematical analysis
In the work, the problem of forecasting technological development trends was considered. A review of the sources of the global patent space, an analysis of technological development trends, a survey of data sources for training the neural network were carried out. Existing data mining techniques were analyzed for more accurate and faster forecasting. A module for predictive modeling of trends in technological development was developed, algorithms for the module for predictive modeling of trends in technological development were described.