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6859258 
Journal Article 
Prediction of strength for concrete specimens using Artificial Neural Networks 
Kaveh, A; Khalegi, A; , 
1998 
CIVIL COMP PRESS 
EDINBURGH 
165-171 
WOS:000077305500020 
Artificial Neural Networks are trained for different types of concrete mixtures, in order to predict the 7-day and 28-day strength of concrete specimens. Both plain and admixture concretes are considered. Employing the Backpropagation algorithm, neural nets with one, two and three hidden layers are trained and compared. The most efficient networks are then selected and used for predicting the strength of concrete mixtures, with reasonably small errors. 
Topping, BHV; 
0-948749-55-5 
1st International Conference on Engineering Computational Technology/4th International Conference on Computational Structures Technology 
EDINBURGH, SCOTLAND