Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks
Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical c...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
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Series: | Advances in Materials Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/849126 |
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