Methods of analysis of encephalograph signals using neural networks

2021 ◽  
Author(s):  
Dmytro M. Kartolapov ◽  
Vsevolod. О. Novikov ◽  
Sergii V. Tymchyk ◽  
Olga V. Akimova ◽  
Natalia A. Bouhlal

2021 ◽  
Vol 7 (3D) ◽  
pp. 28-34
Author(s):  
Svitlana Panchenko ◽  
Katerina Fokina-Mezentseva ◽  
Ievgeniia Dragomirova ◽  
Larysa Plakhotnikova ◽  
Inna Levytska

The purpose of the article is to explore the essence and features of using intelligent technologies in tourism and to develop proposals for their implementation. The subject of research – intelligent technologies in tourism, the technology of forming the "profile" of the tourist. The research methodology consists in the application of methods of analysis, synthesis, comparison, generalization, forecasting, as well as in the use of systematic and activity approaches. The article presents the technology of forming the "profile" of the tourist.  The scientific novelty is that this article proves the effectiveness of the use of intelligent technologies to create a model of the tourist, his "profile" using neural networks. Effective use of information from various sources in the field of tourism is an important and difficult task. Managers are often forced to make decisions based on partial, incomplete and inaccurate information. The article considers knowledge management in a rapidly changing environment for the task of promoting a tourism product.



1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner


1995 ◽  
Vol 40 (11) ◽  
pp. 1110-1110
Author(s):  
Stephen James Thomas








2007 ◽  
Author(s):  
Michael N. Jones
Keyword(s):  


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