GA-based hybrid ANN optimization approach for the prediction of compressive strength of high-volume fly ash concrete mixes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-022-00557-2.pdf
Reference42 articles.
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3. Bilal, A., Israil, M., & Ayaz, M. (2021). Effect of steel fibres on the torsional behaviour of concrete elements: Unified model using Artificial Neural Networks. Innovative Infrastructure Solutions, 6(2), 1–20. https://doi.org/10.1007/s41062-021-00479-z
4. Bilodeau, A., & Malhotra, V.M. (2000). High-volume fly ash system: concrete solution for sustainable development. Materials Journal 97(1), 41–48. https://www.concrete.org/publications/internationalconcreteabstractsportal/m/details/id/804
5. Dananjayan, R. R., Kandasamy, P., & Andimuthu, R. (2016). Direct mineral carbonation of coal fly ash for CO2 sequestration. Journal of Cleaner Production, 20(112), 4173–4182. https://doi.org/10.1016/j.jclepro.2015.05.145
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