Neuro-fuzzy systems in determining light weight concrete strength
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11771-019-4223-3.pdf
Reference22 articles.
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3. ALSHIHRI M M, AZMY A M, EL-BISY M S. Neural networks for predicting compressive strength of structural light weight concrete [J]. Constr Build Mater, 2009, 23(6): 2214–2219.
4. SARIDEMIR M, TOPÇU I B, ÖZCAN F, SEVERCAN M H. Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic [J]. Constr Build Mater, 2009, 23(3): 1279–1286.
5. ÖZCAN F, ATIS C D, KARAHAN O, UNCUOGLU E, TANYILDIZI H. Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete [J]. Adv Eng Softw, 2009, 40(9): 856–863.
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