Prediction of cement-based mortars compressive strength using machine learning techniques

• Main Authors: Asteris, Panagiotis G., Koopialipoor, Mohammadreza, Armaghani, Danial J., Kotsonis, Evgenios A., Lourenco, Paulo B.
• Format: Article
• Published: Springer Verlag (Germany) 2021
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/28039/

The application of artificial neural networks in mapping the mechanical characteristics of the cement-based materials is underlined in previous investigations. However, this machine learning technique includes several major deficiencies highlighted in the literature, such as the overfitting problem...