Modeling and Predicting Saudi Crude Oil Production Using Artificial Neural Networks (ANN) and Some Others Predictive Techniques-Reference-Cited by-同舟云学术

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Modeling and Predicting Saudi Crude Oil Production Using Artificial Neural Networks (ANN) and Some Others Predictive Techniques

Published:2022-12-22 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE)
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Author:

AlArjani Ali¹,Alam Teg¹,Kineber Ahmed²

Affiliation:

1. College of Engineering Prince Sattam Bin Abdulaziz University,Department of Industrial Engineering,Al Kharj,Saudi Arabia,11942

2. College of Engineering Prince Sattam Bin Abdulaziz University,Department of Civil Engineering,Al Kharj,Saudi Arabia,11942

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180901/10180410/10180990.pdf?arnumber=10180990

Reference21 articles.

1. A Comparative Study of CO2 Emission Forecasting in the Gulf Countries Using Autoregressive Integrated Moving Average, Artificial Neural Network, and Holt-Winters Exponential Smoothing Models

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