Open AccessThe use of a neural network model for the analysis of tourism development in the regions of the country
Author(s) -
Anatoliy N. Kazak,
N. N. Oleinikov,
Petr V. Chetyrbok,
Н П Шамаева,
Elena V. Alexandrova
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1703/1/012034
Subject(s) - tourism , recreation , artificial neural network , field (mathematics) , quality (philosophy) , russian federation , computer science , regional science , business , artificial intelligence , geography , political science , philosophy , mathematics , archaeology , epistemology , pure mathematics , law
Neurocomputer and neural network technologies are one of the most effective artificial intelligence strategies. A neural network model has been developed, designed to assess the prospects of tourism development in certain regions of the Russian Federation. In particular, the Krasnodar Territory was chosen for analysis as one of the most popular resorts in terms of the level of domestic tourism development. Using the neural network model built in Matlab, the impact of individual economic indicators on the number of tourist visits to this resort was evaluated. This kind of analytical activity is important for adjusting regional policies in the field of tourism and recreational activities and will allow relevant experts to improve the quality of management decisions and strategies being developed. Thus, the competitiveness of the regions increases and a new approach to the development of the recreational sphere is introduced.