Adaptive Neuro-Fuzzy Inference System for Predicting Strength of High-Performance Concrete
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-0035-0_10
Reference24 articles.
1. Yeh, I.C.: Design of high performance concrete mixture using neural networks and nonlinear programming. Cem. Concr. Res. 28(12), 1797–1808 (1998)
2. Smarzewski, P., Barnat-Hunek, D.: Property assessment of hybrid fiber-reinforced ultra-high-performance concrete. Int. J. Civ. Eng. Published online on 16th February 2017, https://doi.org/10.1007/s40999-017-0145-3
3. Sadrmomtazi, A., Sobhani, J. Mirgozar, M.A.: Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS. Constr. Build. Mater. 42, 205–216 (2013)
4. Tesfamariam, S., Najjaran, H.: Adaptive network-fuzzy inferencing to estimate concrete strength using mix design. J. Mater. Civ. Eng. 19(7), 550–560 (2007)
5. Parichatprecha, R., Nimityongskul, P.: Analysis of durability of high performance concrete using artificial neural networks. Constr. Build. Mater. 23(2), 910–917 (2009)
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