Use an adaptive network fuzzy inference system model for estimating the compressive strength of high-performance concrete with two optimizers improved Grey Wolf algorithm and Dragonfly optimization algorithm-Reference-Cited by-同舟云学术

Use an adaptive network fuzzy inference system model for estimating the compressive strength of high-performance concrete with two optimizers improved Grey Wolf algorithm and Dragonfly optimization algorithm

Published:2023-02-22 Issue:2 Volume:6 Page:263-276
ISSN:2520-8160
Container-title:Multiscale and Multidisciplinary Modeling, Experiments and Design
language:en
Short-container-title:Multiscale and Multidiscip. Model. Exp. and Des.

Author:

Hu Xiaoxuan

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Mechanics of Materials,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s41939-023-00142-3.pdf

Reference48 articles.

1. A. C. I. (American C. Institute) (2013) ACI concrete terminology. ACI CT-13

2. Aïtcin P-C (1998) High performance concrete. CRC Press

3. Alshinwan M et al (2021) Dragonfly algorithm: a comprehensive survey of its results, variants, and applications. Multimed Tools Appl 80(10):14979–15016

4. Asteris PG, Skentou AD, Bardhan A, Samui P, Pilakoutas K (2021) Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models. Cem Concr Res 145:106449

5. Atici U (2011) Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network. Expert Syst Appl 38(8):9609–9618

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