Modeling the variations of reﬂection coeﬃcient of Earth’s lower ionosphere using very low frequency radio wave data by artiﬁcial neural network

Keyvan Ghanbari; Mehdi Khakian Ghomi; Mohammad  Mohammadi; Marjan Marbouti; Le  Minh Tan

doi:10.1016/j.asr.2016.04.027

Modeling the variations of reﬂection coeﬃcient of Earth’s lower ionosphere using very low frequency radio wave data by artiﬁcial neural network

Keyvan Ghanbari, Mehdi Khakian Ghomi, Mohammad Mohammadi, Marjan Marbouti, Le Minh Tan

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Advances in Space Research
Volume	58
Issue number	3
Number of pages	13
ISSN	0273-1177
DOIs	https://doi.org/10.1016/j.asr.2016.04.027
Publication status	Published - 27 Apr 2016
Externally published	Yes
MoE publication type	A1 Journal article-refereed

Fields of Science

115 Astronomy, Space science

Access to Document

10.1016/j.asr.2016.04.027

Cite this

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title = "Modeling the variations of reﬂection coeﬃcient of Earth{\textquoteright}s lower ionosphere using very low frequency radio wave data by artiﬁcial neural network",

keywords = "115 Astronomy, Space science",

author = "Keyvan Ghanbari and {Khakian Ghomi}, Mehdi and Mohammad Mohammadi and Marjan Marbouti and {Minh Tan}, Le",

year = "2016",

month = apr,

day = "27",

doi = "10.1016/j.asr.2016.04.027",

language = "English",

volume = "58",

journal = "Advances in Space Research",

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publisher = "ELSEVIER SCI IRELAND LTD",

number = "3",

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TY - JOUR

T1 - Modeling the variations of reﬂection coeﬃcient of Earth’s lower ionosphere using very low frequency radio wave data by artiﬁcial neural network

AU - Ghanbari, Keyvan

AU - Khakian Ghomi, Mehdi

AU - Mohammadi, Mohammad

AU - Marbouti, Marjan

AU - Minh Tan, Le

PY - 2016/4/27

Y1 - 2016/4/27

KW - 115 Astronomy, Space science

U2 - 10.1016/j.asr.2016.04.027

DO - 10.1016/j.asr.2016.04.027

M3 - Article

SN - 0273-1177

VL - 58

JO - Advances in Space Research

JF - Advances in Space Research

IS - 3

ER -