Retraction Note to: Predicting the effects of nanoparticles on compressive strength of ash-based geopolymers by gene expression programming
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-04891-x.pdf
Reference6 articles.
1. Nazari A, Riahi S (2013) Predicting the effects of nanoparticles on compressive strength of ash-based geopolymers by gene expression programming. Neural Comput Appl 23:1677–1685. https://doi.org/10.1007/s00521-012-1127-7
2. Nazari A (2019) Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer. Neural Comput App 31:767–776. https://doi.org/10.1007/s00521-012-1137-5
3. Nazari A (2019) Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming. Neural Comput Appl 31:751–757. https://doi.org/10.1007/s00521-012-1135-7
4. Nazari A (2013) Compressive strength of geopolymers produced by ordinary Portland cement: application of genetic programming for design. Mater Des 43:356–366. https://doi.org/10.1016/j.matdes.2012.07.012
5. Nazari A et al (2012) RETRACTED: prediction of compressive strength of geopolymers with seeded fly ash and rice husk–bark ash by gene expression programming. Int J Damage Mech 21(8):1202–1226. https://doi.org/10.1177/1056789511431991
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