Application of artificial neural networks to predict compressive strength of high strength concrete.

• Main Authors: Jaafar, Mohd Saleh, Noorzaei, Jamaloddin, Jameel, Mohammed, Seyed Hakim, Seyed Jamalaldin, Mohammadhassani, Mohammad
• Format: Article
• Language: English; English
• Published: 2011
• Online Access: http://psasir.upm.edu.my/id/eprint/23423/1/Application%20of%20artificial%20neural%20networks%20to%20predict%20compressive%20strength%20of%20high%20strength%20concrete.pdf; http://psasir.upm.edu.my/id/eprint/23423/; http://www.academicjournals.org/journal/IJPS/article-abstract/64E466B26591

A method to predict 28-day compressive strength of high strength concrete (HSC) by using MFNNs is proposed in this paper. The artificial neural networks (ANN) model is constructed trained and tested using the available data. A total of 368 different data of HSC mix-designs were collected from techni...