KFU. Card publication. Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis

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MODELING OF EXTENDED OSPREY OPTIMIZATION ALGORITHM WITH BAYESIAN NEURAL NETWORK: AN APPLICATION ON FINTECH TO PREDICT FINANCIAL CRISIS

Form of presentation

Articles in international journals and collections

Year of publication

2024

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Authors, employees of KFU

Akhmetshin Elvir Munirovich, author

Bibliographic description in the original language

Abdullayev I, Akhmetshin E, Kosorukova I, Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis//AIMS Mathematics. - 2024. - Vol.9, Is.7. - P.17555-17577.

Keywords

Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis

The name of the journal

AIMS Mathematics

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193858820&doi=10.3934%2fmath.2024853&partnerID=40&md5=18069230543635e60ec9e6e0d4300b08

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

https://repository.kpfu.ru/eng/?p_id=307548&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Akhmetshin Elvir Munirovich	ru_RU
dc.date.accessioned	2024-01-01T00:00:00Z	ru_RU
dc.date.available	2024-01-01T00:00:00Z	ru_RU
dc.date.issued	2024	ru_RU
dc.identifier.citation	Abdullayev I, Akhmetshin E, Kosorukova I, Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis//AIMS Mathematics. - 2024. - Vol.9, Is.7. - P.17555-17577.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=307548&p_lang=2	ru_RU
dc.description.abstract	AIMS Mathematics	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis	ru_RU
dc.type	Articles in international journals and collections	ru_RU