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Multi-stage algorithm based on neural network committee for prediction and search for precursors in multi-dimensional time seriesстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Дата последнего поиска статьи во внешних источниках: 19 июля 2013 г.
- Авторы: Dolenko S., Guzhva A., Persiantsev I., Shugai J.
- Сборник: International Conference on Artificial Neural Networks (ICANN-2009), Part 2
- Серия: Lecture Notes in Computer Science
- Том: 5769
- Год издания: 2009
- Место издания: Springer-Verlag Berlin Heidelberg
- Первая страница: 295
- Последняя страница: 304
- DOI: 10.1007/978-3-642-04277-5_30
- Аннотация: The studied problem is prediction of time series based on preceding values of several time series (a multi-dimensional time series). Besides prediction itself, the task is finding precursors, i.e. determination of a set of the most significant input features in coordinates "initial time series - lag". A four-stage prediction algorithm based on neural network committee has been suggested, implemented and studied. The algorithm has been successfully tested on one model problem and on one real world problem. В© 2009 Springer Berlin Heidelberg.
- Добавил в систему: Доленко Сергей Анатольевич