journal article·2022-03-31Open access

Retraction Note: Artificial neural networks for prediction of percentage of water absorption of geopolymers produced by waste ashes

Ali Nazari

Bulletin of Materials Science· Volume 45· Issue 2
This record is marked as retracted by the source. Review the publisher’s notice before using its findings.

Abstract

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Research context

OpenAlex topics: Concrete and Cement Materials Research

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References (8)

Show source-provided references
1. Riahi S, Nazari A and Ghasemi D 2012 RETRACTED: Prediction of Resistance to Water Damage of Geopolymers with Seeded Fly Ash and Rice Husk Bark Ash by Fuzzy Logic. International Journal of Damage Mechanics 21 822–842. https://doi.org/10.1177/105678951141998410.1177/1056789511419984 ↗
2. Nazari A 2013 RETRACTED ARTICLE: Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes. Neural Comput & Applic 23 391–402. https://doi.org/10.1007/s00521-012-0931-410.1007/s00521-012-0931-4 ↗
3. Nazari A and Riahi S 2013 RETRACTED ARTICLE: Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes. Neural Comput & Applic 22 719–729. https://doi.org/10.1007/s00521-011-0760-x10.1007/s00521-011-0760-x ↗
4. Nazari A 2013 RETRACTED ARTICLE: Artificial neural networks application to predict the compressive damage of lightweight geopolymer. Neural Comput & Applic 23 507–518. https://doi.org/10.1007/s00521-012-0945-y10.1007/s00521-012-0945-y ↗
5. Nazari A 2012 Experimental study and computer-aided prediction of percentage of water absorption of geopolymers produced by waste fly ash and rice husk bark ash. International Journal of Mineral Processing 110 74–81. https://doi.org/10.1016/j.minpro.2012.04.00710.1016/j.minpro.2012.04.007 ↗
6. Nazari A 2019 RETRACTED ARTICLE: Prediction water absorption resistance of lightweight geopolymers by artificial neural networks. Neural Comput & Applic 31 759–766. https://doi.org/10.1007/s00521-012-1136-610.1007/s00521-012-1136-6 ↗
7. Nazari A, Khalaj G and Riahi S 2013 RETRACTED ARTICLE: ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk–bark ash. Neural Comput & Applic 22 689–701. https://doi.org/10.1007/s00521-011-0751-y10.1007/s00521-011-0751-y ↗
8. Nazari A and Khalaj G 2012 Prediction total specific pore volume of geopolymers produced from waste ashes by fuzzy logic. Materials Research 15 242–252. https://doi.org/10.1590/S1516-1439201200500001010.1590/S1516-14392012005000010 ↗