Retraction Note to: Utilizing ANFIS for prediction water absorption of lightweight geopolymers produced from waste mater

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RETRACTION NOTE

Retraction Note to: Utilizing ANFIS for prediction water absorption of lightweight geopolymers produced from waste materials Ali Nazari1

Ó Springer-Verlag London Ltd., part of Springer Nature 2020

Retraction Note to: Neural Comput & Applic (2013) 23:417–427 https://doi.org/10.1007/s00521-012-0934-1

materials, Ceramics International, Volume 38, Issue 6, 2012, Pages 4729–4736, https://doi.org/10.1016/j.ceramint. 2012.02.058

The Editor-in-Chief has retracted this article [1] because it significantly overlaps with a number of articles including those that were consideration at the same time [2] and previously published articles [3, 4, 5, 6]. Additionally, the article shows evidence of peer review manipulation. The authors have not responded to any correspondence regarding this retraction.

[4] Ali Nazari, Shadi Riahi, Ali Bagheri, Designing water resistant lightweight geopolymers produced from waste materials, Materials & Design, Volume 35, 2012, Pages 296–302, https://doi.org/10.1016/j.matdes.2011.09.016

[1] Nazari, A. Utilizing ANFIS for prediction water absorption of lightweight geopolymers produced from waste materials. Neural Comput & Applic 23, 417–427 (2013). https://doi.org/10.1007/s00521-012-0934-1 [2] Nazari, A. Artificial neural networks application to predict the compressive damage of lightweight geopolymer. Neural Comput & Applic 23, 507–518 (2013). https:// doi.org/10.1007/s00521-012-0945-y

[5] Ali Nazari, Shadi Riahi, RETRACTED: Experimental investigations and ANFIS prediction of water absorption of geopolymers produced by waste ashes, Journal of NonCrystalline Solids, Volume 358, Issue 1, 2012, Pages 40–46, https://doi.org/10.1016/j.jnoncrysol.2011.08.022 [6] Ali Nazari, Gholamreza Khalaj, Prediction compressive strength of lightweight geopolymers by ANFIS, Ceramics International, Volume 38, Issue 6, 2012, Pages 4501–4510, https://doi.org/10.1016/j.ceramint.2012.02.026 Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

[3] Ali Nazari, Fuzzy logic for prediction water absorption of lightweight geopolymers produced from waste

The original article can be found online at https:// doi.org/10.1007/s00521-012-0934-1. & Ali Nazari [email protected] 1

Department of Materials Science and Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran

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