Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural networks

Advances in Engineering Software

Volumn 40, Issue 5, 2009, Pages 350-355

  Saridemir, Mustafa ^a  

^a NIGDE UNIVERSITY   (Turkey)

Author keywords

Compressive strength; Metakaolin; Neural networks; Silica fume

Indexed keywords

BACKPROPAGATION; CIVIL ENGINEERING; COMPRESSIVE STRENGTH; CONCRETES; MULTILAYER NEURAL NETWORKS; MULTILAYERS; OXIDES; SILICA; SILICA FUME; STRENGTH OF MATERIALS; STRENGTHENING (METAL);

ARTIFICIAL NEURAL NETWORKS; CIVIL ENGINEERING APPLICATIONS; COMPRESSIVE STRENGTH OF CONCRETES; HUMAN ACTIVITIES; INPUT PARAMETERS; METAKAOLIN; MIXTURE PROPORTIONS; MULTI-LAYER FEED FORWARDS; NEURAL NETWORK MODELS; STRENGTH VALUES; SUPERPLASTICIZER; TECHNICAL LITERATURES; TRAINING AND TESTING;

NEURAL NETWORKS;

EID: 60249090544     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2008.05.002     Document Type: Article

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