Different Statistical Modeling to Predict Compressive Strength of High-Strength Concrete Modified with Palm Oil Fuel Ash
The present study focuses on proposing various statistical models, such as linear regression (LR), nonlinear regression (NLR), and artificial neural network (ANN), to forecast the compressive strength of environmentally friendly high-strength concrete, incorporating waste agricultural material like...
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Main Authors: | Soran Abdrahman Ahmad, Bilal Kamal Mohammed, Serwan Khwrshid Rafiq, Brwa Hama Saeed Hamah Ali, Kawa Omer Fqi |
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Format: | Article |
Language: | English |
Published: |
Engiscience Publisher
2024-04-01
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Series: | Emerging Technologies and Engineering Journal |
Subjects: | |
Online Access: | https://engiscience.com/index.php/etej/article/view/239 |
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