Artificial neural networks for mechanical strength prediction of lightweight mortar

In this paper, the practical results of mechanical strength of different lightweight mortars made with 0, 5,10, 15, 20, 25, 30, 35, 40, 45, 50,55, 60, 65, 70, 75, 80, 85, 90, 95 and 100 of scoria instead of sand and 0.55 water-cement ratio and 350 kg/m3 cement content have been used to generate arti...

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Bibliographic Details

Main Authors:	Razavi, S.V., Jumaat, Mohd Zamin, Ei-Shafie, A.H., Mohammadi, P.
Format:	Article
Language:	en
Published:	Scientific Research and Essays 2011
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/5942/1/Artificial_neural_networks_for_mechanical_strength_prediction_of_lightweight_mortar.pdf http://eprints.um.edu.my/5942/ http://www.scopus.com/inward/record.url?eid=2-s2.0-80052053386&partnerID=40&md5=70c6f5972e8f5a4f2ead4ddd175da2f1
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