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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Scientific Research and Essays
2011
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| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://www.scopus.com/inward/record.url?eid=2-s2.0-80052053386&partnerID=40&md5=70c6f5972e8f5a4f2ead4ddd175da2f1 http://www.scopus.com/inward/record.url?eid=2-s2.0-80052053386&partnerID=40&md5=70c6f5972e8f5a4f2ead4ddd175da2f1 http://eprints.um.edu.my/5942/1/Artificial_neural_networks_for_mechanical_strength_prediction_of_lightweight_mortar.pdf |
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http://www.scopus.com/inward/record.url?eid=2-s2.0-80052053386&partnerID=40&md5=70c6f5972e8f5a4f2ead4ddd175da2f1http://www.scopus.com/inward/record.url?eid=2-s2.0-80052053386&partnerID=40&md5=70c6f5972e8f5a4f2ead4ddd175da2f1
http://eprints.um.edu.my/5942/1/Artificial_neural_networks_for_mechanical_strength_prediction_of_lightweight_mortar.pdf