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A functional network to predict fresh and hardened properties of self-compacting concretes

✍ Scribed by Stefania Tomasiello

Publisher: Wiley (John Wiley & Sons)
Year: 2009
Tongue: English
Weight: 89 KB
Volume: 27
Category: Article
ISSN: 2040-7939
DOI: 10.1002/cnm.1333

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✦ Synopsis

Abstract

Literature offers several examples of application of neural networks to predict fresh and hardened properties of conventional and self‐compacting concretes. In this paper, these issues are addressed to a relatively recent computational scheme given by the functional networks, by proposing an initial simple application. The algorithm with some appropriate assumptions, reveals a quick convergence and an interesting generalization capability even if the training data set is poor. Copyright © 2009 John Wiley & Sons, Ltd.

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