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

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

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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...

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Bibliographic Details
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

Internet

http://psasir.upm.edu.my/id/eprint/23423/1/Application%20of%20artificial%20neural%20networks%20to%20predict%20compressive%20strength%20of%20high%20strength%20concrete.pdf

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