KFU. Card publication. Algorithm for the Formation of a Training Set for a Neural Network on the Recognition of Chart Patterns

KAZAN
FEDERAL UNIVERSITY

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

Form of presentation

Articles in international journals and collections

Year of publication

2018

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Authors, employees of KFU

Vakhitov Galim Zaribzyanovich, author

Enikeeva Zulfira Asnafovna, author

Bibliographic description in the original language

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.

Annotation

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.

Keywords

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

The name of the journal

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

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=240332&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Vakhitov Galim Zaribzyanovich	ru_RU
dc.contributor.author	Enikeeva Zulfira Asnafovna	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/eng/?p_id=240332&p_lang=2	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	Articles in international journals and collections	ru_RU