RETRACTED ARTICLE: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-012-1135-7.pdf
Reference16 articles.
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3. Duxson P, Provis JL, Lukey GC, Mallicoat SW, Kriven WM, Deventer JSJ (2005) Understanding the relationship between geopolymer composition, microstructure and mechanical properties. Colloids Surf 269:47–58
4. Duxson P, Fernandez-Jimenez A, Provis JL, Lukey GC, Palomo A, vanDeventer JSJ (2007) Geopolymer technology: the current state of the art. J Mater Sci 42:2917–2933
5. Panagiotopoulou Ch, Kontori E, Perraki Th, Kakali G (2007) Dissolution of aluminosilicate minerals and by-products in alkaline media. J Mater Sci 42:2967–2973
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1. Modelling of compressive strength of self-compacting concrete containing fly ash by gene expression programming;REV CONSTR;2020
2. Retraction Note to: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming;Neural Computing and Applications;2020-07-04
3. Retraction Note to: Predicting the effects of nanoparticles on compressive strength of ash-based geopolymers by gene expression programming;Neural Computing and Applications;2020-04-15
4. Retraction Note to: Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer;Neural Computing and Applications;2020-04-15
5. Deep neural network-based predictive modeling of road accidents;Neural Computing and Applications;2020-01-09
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