Forecasting Field Production Using Machine Learning Time Series-Reference-Cited by-同舟云学术

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Forecasting Field Production Using Machine Learning Time Series

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2022
language:
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Author:

Sawma Awad Johnny¹²³⁴,Assaf Sena¹²³⁴,Safa Bassel¹²³⁴,Srour Issam¹²³⁴

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, American Univ. of Beirut.

2. Research Assistant, Dept. of Civil and Environmental Engineering, American Univ. of Beirut.

3. Civil Engineer.

4. Associate Professor, Dept. of Civil and Environmental Engineering, American Univ. of Beirut.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784483961.009

Reference29 articles.

1. Estimating Labor Production Rates for Industrial Construction Activities

2. Using a data driven neural network approach to forecast building occupant complaints;Assaf S.;Building and Environment,2021

3. Bianchi, F. M., Maiorino, E., Kampffmeyer, M. C., Rizzi, A., and Jenssen, R. (2017). Recurrent neural networks for short-term load forecasting: an overview and comparative analysis: Springer.

4. Estimating Construction Productivity: Neural‐Network‐Based Approach

5. Tourism demand forecasting with neural network models: different ways of treating information;Claveria O.;International Journal of Tourism Research,2015

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