A functional network to predict fresh and hardened properties of self‐compacting concretes | Zendy

Tomasiello Stefania | Zendy

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

Author(s) -

Tomasiello Stefania

Publication year - 2011

Publication title -

international journal for numerical methods in biomedical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.741

H-Index - 63

eISSN - 2040-7947

pISSN - 2040-7939

DOI - 10.1002/cnm.1333

Subject(s) - generalization , convergence (economics) , simple (philosophy) , set (abstract data type) , artificial neural network , scheme (mathematics) , computer science , algorithm , artificial intelligence , mathematics , mathematical analysis , philosophy , epistemology , economics , programming language , economic growth

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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