Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength-Reference-Cited by-同舟云学术

Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength

Published:2021-08-04 Issue:24 Volume:33 Page:17331-17351
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ly Hai-Bang,Nguyen May Huu,Pham Binh Thai^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06321-y.pdf

Reference78 articles.

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3. Ramamurthy K, Kunhanandan Nambiar EK, Indu Siva Ranjani G (2009) A classification of studies on properties of foam concrete. Cement Concr Compos 31:388–396. https://doi.org/10.1016/j.cemconcomp.2009.04.006

4. Namsone E, Šahmenko G, Korjakins A (2017) Durability Properties of High Performance Foamed Concrete. Proc Eng 172:760–767. https://doi.org/10.1016/j.proeng.2017.02.120

5. Tikalsky PJ, Pospisil J, MacDonald W (2004) A method for assessment of the freeze–thaw resistance of preformed foam cellular concrete. Cem Concr Res 34:889–893. https://doi.org/10.1016/j.cemconres.2003.11.005

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