Forecasting gas density using artificial intelligence

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Standard

Forecasting gas density using artificial intelligence. / Choubineh, Abouzar; Khalafi, Elias; Kharrat, Riyaz et al.
In: Petroleum science and technology, Vol. 35, No. 9, 03.05.2017, p. 903-909.

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

Harvard

Choubineh, A, Khalafi, E, Kharrat, R, Bahreini, A & Hosseini, AH 2017, 'Forecasting gas density using artificial intelligence', Petroleum science and technology, vol. 35, no. 9, pp. 903-909. https://doi.org/10.1080/10916466.2017.1303712

APA

Choubineh, A., Khalafi, E., Kharrat, R., Bahreini, A., & Hosseini, A. H. (2017). Forecasting gas density using artificial intelligence. Petroleum science and technology, 35(9), 903-909. https://doi.org/10.1080/10916466.2017.1303712

Vancouver

Choubineh A, Khalafi E, Kharrat R, Bahreini A, Hosseini AH. Forecasting gas density using artificial intelligence. Petroleum science and technology. 2017 May 3;35(9):903-909. doi: 10.1080/10916466.2017.1303712

Author

Choubineh, Abouzar ; Khalafi, Elias ; Kharrat, Riyaz et al. / Forecasting gas density using artificial intelligence. In: Petroleum science and technology. 2017 ; Vol. 35, No. 9. pp. 903-909.

Bibtex - Download

@article{20c4b1327eaf4afd9dfbec4a7d46e523,
title = "Forecasting gas density using artificial intelligence",
keywords = "Artificial neural network, comparing, gas density, sensitivity analysis, teaching learning based optimization",
author = "Abouzar Choubineh and Elias Khalafi and Riyaz Kharrat and Alireza Bahreini and Hosseini, {Amir Hossein}",
note = "Publisher Copyright: {\textcopyright} 2017 Taylor & Francis Group, LLC.",
year = "2017",
month = may,
day = "3",
doi = "10.1080/10916466.2017.1303712",
language = "English",
volume = "35",
pages = "903--909",
journal = "Petroleum science and technology",
issn = "1091-6466",
number = "9",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Forecasting gas density using artificial intelligence

AU - Choubineh, Abouzar

AU - Khalafi, Elias

AU - Kharrat, Riyaz

AU - Bahreini, Alireza

AU - Hosseini, Amir Hossein

N1 - Publisher Copyright: © 2017 Taylor & Francis Group, LLC.

PY - 2017/5/3

Y1 - 2017/5/3

KW - Artificial neural network

KW - comparing

KW - gas density

KW - sensitivity analysis

KW - teaching learning based optimization

UR - http://www.scopus.com/inward/record.url?scp=85028618834&partnerID=8YFLogxK

U2 - 10.1080/10916466.2017.1303712

DO - 10.1080/10916466.2017.1303712

M3 - Article

AN - SCOPUS:85028618834

VL - 35

SP - 903

EP - 909

JO - Petroleum science and technology

JF - Petroleum science and technology

SN - 1091-6466

IS - 9

ER -

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