Retraction Note to: Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes (Neural Computing and Applications, (2013), 22, 3-4, (719-729), 10.1007/s00521-011-0760-x);Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes

Neural Computing and Applications

Volumn 22, Issue 3-4, 2013, Pages 719-729

  Nazari, Ali ^a   Riahi, Shadi ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Aluminosilicate; Artificial neural networks; Fly ash; Geopolymer; Particle size; Rice husk bark ash; Total specific pore volume

Indexed keywords

ALUMINOSILICATES; CURING; FLY ASH; GEOPOLYMERS; INORGANIC POLYMERS; PARTICLE SIZE;

GEOPOLYMER; INPUT PARAMETER; NEURAL NETWORK MODEL; NEURAL NETWORKS MODEL; PORE VOLUME; RICE HUSK-BARK ASHES; TOTAL SPECIFIC PORE VOLUMES; TRAINING AND TESTING;

NEURAL NETWORKS;

EID: 84874022794     PISSN: 09410643     EISSN: 14333058     Source Type: Journal    
DOI: 10.1007/s00521-020-04968-7     Document Type: Erratum

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