A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Prediction of modulus of elasticity and compressive strength of concrete specimens by means of artificial neural networks
2016
Acta Scientiarum: Technology
Currently, artificial neural networks are being widely used in various fields of science and engineering. Neural networks have the ability to learn through experience and existing examples, and then generate solutions and answers to new problems, involving even the effects of non-linearity in their variables. The aim of this study is to use a feed-forward neural network with back-propagation technique, to predict the values of compressive strength and modulus of elasticity, at 28 days, of
doi:10.4025/actascitechnol.v38i1.27194
fatcat:kcudevqzwnbgjlsfolt7y4atka