КФУ. Карточка публикации. Algorithm for the Formation of a Training Set for a Neural Network on the Recognition of Chart Patterns

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ALGORITHM FOR THE FORMATION OF A TRAINING SET FOR A NEURAL NETWORK ON THE RECOGNITION OF CHART PATTERNS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2018

Язык

английский

Авторы, сотрудники КФУ

Вахитов Галим Зарибзянович, автор

Еникеева Зульфира Аснафовна, автор

Библиографическое описание на языке оригинала

Vakhitov G.Z, Enikeeva Z.A, Enikeeva S.K., Algorithm for the Formation of a Training Set for a Neural Network on the Recognition of Chart Patterns//Proceedings of 2018 IEEE East-West Design and Test Symposium, EWDTS 2018. pp. 1-5, Art. № 8524747. doi: 10.1109/EWDTS.2018.8524747.

Аннотация

The article gives an example of an algorithm for forming a training set for a neural network, predicting time series in the stock market through the recognition of one of the classic reversal chart pattern. The forecast is formed by an ensemble of neural networks. Each of the networks of the ensemble is trained on its own training set, created on the basis of the influence of a certain factor. At the same time, the entire total sample was formed according to the analytical description of the chart pattern used by traders.

Ключевые слова

Training, Neural networks, Market research, Time series analysis, Stock markets, Instruments, Resistance

Название журнала

Proceedings of 2018 IEEE East-West Design and Test Symposium, EWDTS 2018

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057993184&doi=10.1109%2fEWDTS.2018.8524747&partnerID=40&md5=38bf24f2712fbd94b9894384bb42f7ab

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https://repository.kpfu.ru/?p_id=240332

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Вахитов Галим Зарибзянович	ru_RU
dc.contributor.author	Еникеева Зульфира Аснафовна	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Vakhitov G.Z, Enikeeva Z.A, Enikeeva S.K., Algorithm for the Formation of a Training Set for a Neural Network on the Recognition of Chart Patterns//Proceedings of 2018 IEEE East-West Design and Test Symposium, EWDTS 2018. pp. 1-5, Art. № 8524747. doi: 10.1109/EWDTS.2018.8524747.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=240332	ru_RU
dc.description.abstract	Proceedings of 2018 IEEE East-West Design and Test Symposium, EWDTS 2018	ru_RU
dc.description.abstract	The article gives an example of an algorithm for forming a training set for a neural network, predicting time series in the stock market through the recognition of one of the classic reversal chart pattern. The forecast is formed by an ensemble of neural networks. Each of the networks of the ensemble is trained on its own training set, created on the basis of the influence of a certain factor. At the same time, the entire total sample was formed according to the analytical description of the chart pattern used by traders.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Training	ru_RU
dc.subject	Neural networks	ru_RU
dc.subject	Market research	ru_RU
dc.subject	Time series analysis	ru_RU
dc.subject	Stock markets	ru_RU
dc.subject	Instruments	ru_RU
dc.subject	Resistance	ru_RU
dc.title	Algorithm for the Formation of a Training Set for a Neural Network on the Recognition of Chart Patterns	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU