KFU. Card publication. Modelling of magnetic storms count data using nonlinear poisson regression

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

MODELLING OF MAGNETIC STORMS COUNT DATA USING NONLINEAR POISSON REGRESSION

Form of presentation

Articles in international journals and collections

Year of publication

2019

Язык

английский

Authors, employees of KFU

Bochkarev Vladimir Vladimirovich, author

Maslennikova Yuliya Sergeevna, author

Bibliographic description in the original language

Pekina A, Maslennikova Y, Bochkarev V., Modelling of magnetic storms count data using nonlinear poisson regression//2019 Russian Open Conference on Radio Wave Propagation, RWP 2019 - Proceedings. - 2019. - Vol., Is.. - P.480-483.

Keywords

neural networks, magnetic storms count

The name of the journal

2019 Russian Open Conference on Radio Wave Propagation, RWP 2019 - Proceedings

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072378564&doi=10.1109%2fRWP.2019.8810365&partnerID=40&md5=1fe845b359a0a5f40ee37bf5fa76d92b

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

https://repository.kpfu.ru/eng/?p_id=213970&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bochkarev Vladimir Vladimirovich	ru_RU
dc.contributor.author	Maslennikova Yuliya Sergeevna	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Pekina A, Maslennikova Y, Bochkarev V., Modelling of magnetic storms count data using nonlinear poisson regression//2019 Russian Open Conference on Radio Wave Propagation, RWP 2019 - Proceedings. - 2019. - Vol., Is.. - P.480-483.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=213970&p_lang=2	ru_RU
dc.description.abstract	2019 Russian Open Conference on Radio Wave Propagation, RWP 2019 - Proceedings	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	neural networks	ru_RU
dc.subject	magnetic storms count	ru_RU
dc.title	Modelling of magnetic storms count data using nonlinear poisson regression	ru_RU
dc.type	Articles in international journals and collections	ru_RU