KFU. Card publication. Forecasting of regional logistic potential indicators by methods based on exponential smoothing and artificial neural networks

- RUS
- 中文
- ES

FORECASTING OF REGIONAL LOGISTIC POTENTIAL INDICATORS BY METHODS BASED ON EXPONENTIAL SMOOTHING AND ARTIFICIAL NEURAL NETWORKS

Form of presentation

Articles in international journals and collections

Year of publication

2017

��

��

Authors, employees of KFU

Galimova Gulnaz Ilgizovna, author

Bibliographic description in the original language

Nabiullina G.I, Yakupov D.T, Rozhko O.N., Forecasting of regional logistic potential indicators by methods based on exponential smoothing and artificial neural networks//Astra Salvensis. - 2017. - Vol.2017, Is.. - P.245-257.

Keywords

networks

The name of the journal

Astra Salvensis

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040947623&partnerID=40&md5=4b4383d40a353c6b16ba8985c4016b3c

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

https://repository.kpfu.ru/eng/?p_id=196436&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Galimova Gulnaz Ilgizovna	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Nabiullina G.I, Yakupov D.T, Rozhko O.N., Forecasting of regional logistic potential indicators by methods based on exponential smoothing and artificial neural networks//Astra Salvensis. - 2017. - Vol.2017, Is.. - P.245-257.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=196436&p_lang=2	ru_RU
dc.description.abstract	Astra Salvensis	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Forecasting of regional logistic potential indicators by methods based on exponential smoothing and artificial neural networks	ru_RU
dc.type	Articles in international journals and collections	ru_RU