A deep gated recurrent neural network for petroleum production forecasting

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

Original language	English
Pages (from-to)	100013
Number of pages	1
Journal	Machine Learning with Applications
Volume	3
DOIs	https://doi.org/10.1016/j.mlwa.2020.100013
Publication status	Published - 23 Nov 2020

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@article{0e9c7274eb4d4cca82da3c39d6822f25,

title = "A deep gated recurrent neural network for petroleum production forecasting",

author = "Raghad Al-Shabandar and Ali Jaddoa and Panos Liatsis and Hussain, \{Abir Jaafar\}",

year = "2020",

month = nov,

day = "23",

doi = "10.1016/j.mlwa.2020.100013",

language = "English",

volume = "3",

pages = "100013",

journal = "Machine Learning with Applications",

publisher = "Elsevier",

}

TY - JOUR

T1 - A deep gated recurrent neural network for petroleum production forecasting

AU - Al-Shabandar, Raghad

AU - Jaddoa, Ali

AU - Liatsis, Panos

AU - Hussain, Abir Jaafar

PY - 2020/11/23

Y1 - 2020/11/23

U2 - 10.1016/j.mlwa.2020.100013

DO - 10.1016/j.mlwa.2020.100013

M3 - Article

VL - 3

SP - 100013

JO - Machine Learning with Applications

JF - Machine Learning with Applications

ER -