Neural Network Approximation Precision Change Analysis on Cryptocurrency Price Prediction

dc.contributor.author	Misnik, A.
dc.contributor.author	Krutalevich, S.
dc.contributor.author	Prakapenka, S.
dc.contributor.author	Borovykh, P.
dc.contributor.author	Vasiliev, M.
dc.contributor.author	Мисник, А. Е.
dc.contributor.author	Крутолевич, С. К.
dc.contributor.author	Прохоренко, С.
dc.contributor.author	Боровик, П.
dc.contributor.author	Васильев, М.
dc.date.accessioned	2019-11-06T12:51:46Z
dc.date.available	2019-11-06T12:51:46Z
dc.date.issued	2018
dc.identifier.citation	Neural Network Approximation Precision Change Analysis on Cryptocurrency Price Prediction / A. Misnik [etc.] // Proceedings of the II International Scientific and Practical Conference “Fuzzy Technologies in the Industry – FTI 2018” ; Ulyanovsk, October 23-25, 2018. – Ulyanovsk, 2018. – pp. 96–101.	ru_RU
dc.identifier.uri	http://e.biblio.bru.by/handle/1212121212/9547
dc.description.abstract	The neural networks are tool for approximation universal series of data, but their precision highly depends on a adequate set of inputs. Cryptocurrencies experience high levels of volatility due to absence of agreed upon pricing methodologies behind its valuation. In this article we analyze approaches of obtaining additional inputs for neural networks and explore their influence on its precision.	ru_RU
dc.language.iso	en	ru_RU
dc.subject	publikacii_kaf_ASU
dc.title	Neural Network Approximation Precision Change Analysis on Cryptocurrency Price Prediction	ru_RU
dc.type	Article	ru_RU

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