Retraction Note to: Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes

Neural Computing and Applications https://doi.org/10.1007/s00521-020-05119-8 (0123456789().,-volV)(0123456789(). ,- volV) RETRACTION NOTE Retraction Note to: Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes Ali Nazari1 Ó Springer-Verlag London Ltd., part of Springer Nature 2020 Retraction note to: Neural Comput & Applic (2013) 23:391–402 https://doi.org/10.1007/s00521-012-0931-4 The Editor-in-Chief has retracted this article [1] because it significantly overlaps with a number of articles including those that were under consideration at the same time [2], and previously published articles [3–6]. Additionally, the article shows evidence of peer review manipulation. The author has not responded to any correspondence regarding this retraction. References 1. Nazari A (2013) Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes. Neural Comput Appl 23:391–402. https://doi.org/10.1007/s00521-0120931-4 2. Nazari A (2012) Artificial neural networks for prediction of percentage of water absorption of geopolymers produced by waste ashes. Bull Mater Sci 35:1019–1029. https://doi.org/10.1007/ s12034-012-0380-9 3. Nazari A, Riahi S (2013) Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes. Neural Comput Appl 22:719–729. https://doi.org/10.1007/ s00521-011-0760-x 4. Bohlooli H, Nazari A, Khalaj G, Kaykha MM, Riahi S (2012) Retracted: Experimental investigations and fuzzy logic modeling of compressive strength of geopolymers with seeded fly ash and rice husk bark ash. Compos Part B: Eng 43(3):1293–1301. https:// doi.org/10.1016/j.compositesb.2012.01.012 5. Nazari A, Riahi S, Khalaj G, Bohlooli H, Kaykha MM (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 6. Nazari A, Khalaj G, Riahi S (2013) ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk–bark ash. Neural Comput Appl 22:689–701. https://doi.org/ 10.1007/s00521-011-0751-y Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. The original article can be found online at https:// doi.org/10.1007/s00521-012-0931-4. & Ali Nazari 1 Department of Materials Science and Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran 123  (...truncated)