A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Concrete Classification Using Machine Learning Techniques
Present study aims at evaluating the performance of versatile machine learning techniques such as Support Vector Machine, Bagged trees, Boosted trees and RUSBoosted trees in classification of the strength of concrete blocks into three classes: low, medium and high. Ten-fold cross validation was performed on the dataset to classify the concrete strength. The algorithms were compared in terms of ROC (area under the curve) and accuracy of classification. The bagging ensemble method outperformed all other methods. Among the SVM methods, the cubic SVM performed better when compared to quadratic and medium Gaussian methods. This study will be highly beneficial in classification of concrete under limited input dataset without going through the drudgery of performing the physical tests on the concrete blocks.
Concrete Classification Using Machine Learning Techniques
Present study aims at evaluating the performance of versatile machine learning techniques such as Support Vector Machine, Bagged trees, Boosted trees and RUSBoosted trees in classification of the strength of concrete blocks into three classes: low, medium and high. Ten-fold cross validation was performed on the dataset to classify the concrete strength. The algorithms were compared in terms of ROC (area under the curve) and accuracy of classification. The bagging ensemble method outperformed all other methods. Among the SVM methods, the cubic SVM performed better when compared to quadratic and medium Gaussian methods. This study will be highly beneficial in classification of concrete under limited input dataset without going through the drudgery of performing the physical tests on the concrete blocks.
Concrete Classification Using Machine Learning Techniques
Structural Integrity
Fonseca de Oliveira Correia, José António (editor) / Choudhury, Satyabrata (editor) / Dutta, Subhrajit (editor) / Natarajan, Narayanan (author) / Sundar, Murugesan Shyam (author) / Berlin, Mohanadhas (author) / Vasudevan, Mangottiri (author)
International Conference on Advances in Structural Mechanics and Applications ; 2021 ; Silchar, India
Advances in Structural Mechanics and Applications ; Chapter: 12 ; 179-193
Structural Integrity ; 19
2022-06-08
15 pages
Article/Chapter (Book)
Electronic Resource
English
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