Статья опубликована в журнале из списка RSCI Web of Science
Статья опубликована в журнале из перечня ВАК
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 29 мая 2015 г.
Местоположение издательства:Road Town, United Kingdom
Первая страница:296
Последняя страница:299
Аннотация:Recently, we proposed an algorithm for constructing hierarchical neural network classifiers that combines supervised learning with the self-organization of the network. Then, this algorithm was extended for the unsupervised analysis of dynamic objects described in the form of a time series. The algorithm performs a segmentation of the time series being analyzed into the parts that are characterized by different types of dynamics. Currently, the algorithm is being tested on solar wind data.