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Open access
Taylor & Francis
Statistical Theory and Related Fields
,  pages 1-16

Application of neural network to model rainfall pattern of Ethiopia

Publication type: Journal Article
Publication date: 2022-10-31
Taylor & Francis
scimago Q3
wos Q2
SJR: 0.319
CiteScore: 1.2
Impact factor: 1.3
ISSN: 24754269, 24754277
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Computational Theory and Mathematics
Applied Mathematics
Statistics, Probability and Uncertainty
Analysis
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GOST |
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GOST Copy
Atomsa G. A., Zhou Y. Application of neural network to model rainfall pattern of Ethiopia // Statistical Theory and Related Fields. 2022. pp. 1-16.
GOST all authors (up to 50) Copy
Atomsa G. A., Zhou Y. Application of neural network to model rainfall pattern of Ethiopia // Statistical Theory and Related Fields. 2022. pp. 1-16.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1080/24754269.2022.2136266
UR - https://doi.org/10.1080/24754269.2022.2136266
TI - Application of neural network to model rainfall pattern of Ethiopia
T2 - Statistical Theory and Related Fields
AU - Atomsa, Gemechu Abdisa
AU - Zhou, Yingchun
PY - 2022
DA - 2022/10/31
PB - Taylor & Francis
SP - 1-16
SN - 2475-4269
SN - 2475-4277
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Atomsa,
author = {Gemechu Abdisa Atomsa and Yingchun Zhou},
title = {Application of neural network to model rainfall pattern of Ethiopia},
journal = {Statistical Theory and Related Fields},
year = {2022},
publisher = {Taylor & Francis},
month = {oct},
url = {https://doi.org/10.1080/24754269.2022.2136266},
pages = {1--16},
doi = {10.1080/24754269.2022.2136266}
}