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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Scientific Research and Essays
2011
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| Subjects: | |
| 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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