Hybrid Artificial Intelligent Approach for Choke Size Estimation in Volatile and Black Oil Reservoirs

Author(s):  
Al-Gathe Abedelrigeeb ◽  
A M Al-Khudafi ◽  
Salem O. Baarimah ◽  
Khaled Saeed Ba-Jaalah
2021 ◽  
Vol 1962 (1) ◽  
pp. 012026
Author(s):  
Al-Gathe Abedelrigeeb ◽  
Ahmed El-Banbi ◽  
Kh. A. Abdel Fattah ◽  
K. A. El-Metwally

2020 ◽  
Vol 1500 ◽  
pp. 012022
Author(s):  
Min-Wen Wang ◽  
Fatahul Arifin ◽  
Jhen-Wei Kuo ◽  
Tzong-Horng Dzwo

Author(s):  
M.P.L. Perera

Adaptive e-learning the aim is to fill the gap between the pupil and the educator by discussing the needs and skills of individual learners. Artificial intelligence strategies that have the potential to simulate human decision-making processes are important around adaptive e-Learning. This paper explores the Artificial techniques; Fuzzy Logic, Neural Networks, Bayesian Networks and Genetic Algorithms, highlighting their contributions to the notion of the adaptability in the sense of Adaptive E-learning. The implementation of Artificial Neural Networks to resolve problems in the current Adaptive e-learning frameworks have been established.


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