|
ИСТИНА |
Войти в систему Регистрация |
ФНКЦ РР |
||
The use of a neural network model for the analysis of tourism development in the regions of the countryстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 26 июня 2024 г.
- Авторы: Kazak A.N., Oleinikov N.N., Chetyrbok P.V., Shamaeva N.P., Alexandrova E.V.
- Журнал: Journal of Physics: Conference Series
- Том: 1703
- Номер: 1
- Год издания: 2020
- Издательство: IOP Publishing
- Местоположение издательства: [Bristol, UK], England
- Первая страница: 012034
- DOI: 10.1088/1742-6596/1703/1/012034
- Аннотация: 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.
- Добавил в систему: Олейников Николай Николаевич