Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques

• Published in: Applied soft computing Vol. 95; p. 106552
• Main Authors: Abuodeh, Omar R., Abdalla, Jamal A., Hawileh, Rami A.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020
• Subjects: Compressive strength; Deep machine learning; Neural Interpretation Diagrams; Sequential Feature selection; Ultra-High Performance Concrete; Compressive strength; Ultra-High Performance Concrete; Sequential Feature selection; Neural Interpretation Diagrams; Deep machine learning

The compressive strength of Ultra-High Performance Concrete (UHPC) is a function of the type, property and quantities of its material constituents. Empirically capturing this relationship often requires the utilization of intelligent algorithms, such as the Artificial Neural Network (ANN), to derive...