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Neural Computing and Applications

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30.08.2012 | Original Article

RETRACTED ARTICLE: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming

verfasst von: Ali Nazari

Erschienen in: Neural Computing and Applications | Sonderheft 2/2019

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Abstract

In the present work, total specific pore volume of inorganic polymers (geopolymers) made from seeded fly ash and rice husk–bark ash has been predicted by gene expression programming. To build the model, training and testing using experimental results from 120 specimens were conducted. The values for input layers were the percentage of fine fly ash in the ashes mixture, the percentage of coarse fly ash in the ashes mixture, the percentage of fine rice husk–bark ash in the ashes mixture, the percentage of coarse rice husk–bark ash in the ashes mixture, the temperature of curing, and the time of water curing. According to the input parameters, in the gene expression programming models, the pore volume of each specimen was predicted. The training and testing results in the gene expression programming models have shown a strong potential for predicting the total specific pore volume of the geopolymer specimens.

Vorheriger Artikel RETRACTED ARTICLE: Predicting the effects of nanoparticles on early age compressive strength of ash-based geopolymers by artificial neural networks

Nächster Artikel RETRACTED ARTICLE: Prediction water absorption resistance of lightweight geopolymers by artificial neural networks

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Titel: RETRACTED ARTICLE: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming
verfasst von: Ali Nazari
Publikationsdatum: 30.08.2012
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe Sonderheft 2/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-012-1135-7

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