Modeling adiabatic temperature rise during concrete hydration: A data mining approach-Reference-Cited by-同舟云学术

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Modeling adiabatic temperature rise during concrete hydration: A data mining approach

Published:2006-12 Issue:31-32 Volume:84 Page:2351-2362
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Evsukoff Alexandre G.,Fairbairn Eduardo M.R.,Faria Étore F.,Silvoso Marcos M.,Toledo Filho Romildo D.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modelling and Simulation,Civil and Structural Engineering

Reference27 articles.

1. Data mining – concepts and techniques;Han,2001

2. Use of neural networks for fitting of FE probabilistic scaling model parameters;Fairbairn;Int J Fracture,1999

3. Determination of probabilistic parameters of concrete: solving the inverse problem by using artificial neural networks;Fairbairn;Comput Struct,2000

4. Optimization of mass concrete construction using genetic algorithms;Fairbairn;Comput Struct,2004

5. Neural networks applications in concrete structures;Hadi;Comput Struct,2003

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