Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference50 articles.
1. Design and control of concrete mixtures, EB001;Kosmatka,2011
2. Developments in the application of high-performance concretes;Aïtcin;Constr Build Mater,1995
3. Modeling of strength of high-performance concrete using artificial neural networks;Yeh;Cem Concr Res,1998
4. Supplementary cementing materials in concrete: Part I: efficiency and design;Papadakis;Cem Concr Res,2002
5. Prediction of compressive strength of concrete by neural networks;Ni;Cem Concr Res,2000
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